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Zebra Introduces Offerings for Digitizing and Automating Fulfillment

Zebra Technologies has introduced its first all-in-one Android-based wearable computer.

Zebra Technologies is demonstrating new industrial solutions that improve communications and efficiencies. The company has introduced its first all-in-one Android-based wearable computer, the new WS50, and its first RFID sled designed for industrial usage, the RFD90. In addition, Zebra is also showcasing its recently announced Fetch FlexShelf autonomous mobile robot (AMR) solution as well as several other in-booth demos focused on optimizing the fulfillment process and streamlining workflows.

Read more Zebra Technology Announces New Warehouse Solution to Increase Worker Productivity

Zebra’s innovative, all-in-one WS50 Android wearable computer is half the size of traditional wearables and includes a small display, WiFi and an imager or camera, eliminating the need for multiple devices supporting hands-free workflows, such as picking, sorting, loading, and put away. With powerful data capture capabilities and an integrated speaker and microphone, the WS50 supports task management and communication in warehouse, manufacturing, and retail environments. With the option of three different wearable styles including back of hand, wrist, or on the fingers, the ergonomic WS50 wearable computer provides users with the flexibility they need that’s right for the job, according to a press release.

Zebra’s new RFD90 RFID sled offers industrial-grade IP65 and 67 sealing and 6-foot drop specifications to concrete, making it ideal for use in extreme weather and tough environments. The RFD90 sled supports packaging and baggage tracking, cycle counting, cold chain, and item locating as well as raw materials inventory, work in progress (WIP) tracking, and returnable transport object (RTO) tracking. Featuring a long-lasting battery for lengthier shifts and industry-leading read rates, the RFD90 optimizes workflows and reduces task completion time resulting in greater productivity and a better user experience.

RFD90 (Image: Zebra Technologies)

At MODEX 2022, Zebra will also be showcasing its recently announced fulfillment solution, featuring dynamic orchestration of equipped workers augmented by the latest FlexShelf series of autonomous mobile robots (AMRs), including the FlexGuide and RollerTop Guide. Both AMRs are purpose-built for maximizing pick productivity in e-commerce and wholesale operations where speed and accuracy are critical to meeting the increasing demand of customers. New FetchCore fulfillment software optimizes the human workforce and robot fleet, while intelligent safety features leveraging cloud-based machine learning algorithms help front-line workers, robots, and even forklifts work safely side-by-side.

In April 2022, Zebra will launch a new specialization track in its award-winning PartnerConnect program for experienced mobile robotics partners. Zebra’s Mobile Robotics specialization program will feature partners with deep mobile robotics, manufacturing, and warehouse expertise to provide businesses with the best possible automation solution.

Read more ProGlove Unveils MARK Display Wearable Scanner and ProGlove Cloud Analytics Solution

“The global pandemic created exponential growth in the industrial automation sector as businesses worked to scale their operations and stay on time with shipping demands, all while addressing labor shortages and high turnover rates,” said Mark Wheeler, Director of Supply Chain Solutions, Zebra Technologies. “Zebra’s solutions help businesses confidently accelerate their automation efforts through a single vendor, helping them address needs ranging from the movement of pallets from trucks to put-away locations, to the movement of pickers and cobots in diverse picking environments. By addressing these needs, companies are seeing increased productivity and worker satisfaction, reduced costs, and improved safety.”

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Google Seeks FDA Nod For Fitbit’s Passive Heart Rate Monitoring Tech

Google is seeking US FDA approval for Fitbit’s passive heart rate monitoring algorithm.

Fitbit’s parent company Google is seeking US Food and Drug Administration (FDA) approval for Fitbit’s passive heart rate monitoring algorithm.

Related Fitbit Wearables Will Soon Detect Your Snoring At Night

The technology was built using data collected from a study of US Fitbit users launched in May 2020. The Fitbit Heart Study aimed to detect atrial fibrillation (AFib), also known as irregular heart rhythm.

AFib is common in the US, affecting around 12.1 million people, with advancing age, high blood pressure and obesity all common risk factors for the condition. One out of every four people will experience AFib at some point in their lifetime.

Currently, Fitbit can only periodically check for irregular heart rhythm; Fitbit users must decide to check it. Fitbit’s new feature, however, could run in the background and notify people if they’re exhibiting symptoms of atrial fibrillation. This would help Fitbit better compete with the Apple Watch’s EKG feature, which also checks heart rhythms and alerts users of irregularities.

Photo: Fitbit

Fitbit launched a study in 2020 to test its passive heart rhythm technology. Nearly half a million Fitbit users participated in the study, and it flagged around 1 percent of participants (just under 5,000 people) as having an irregular heart rhythm, according to data presented at the 2021 American Heart Association meeting. Those people were asked to set up a telehealth consultation so they could get an EKG patch, and around 1,000 did so. Of that group, a third had the diagnosis confirmed — giving the tech a positive predictive value for atrial fibrillation of 98 percent, reports The Verge.

“These results are extremely promising and we think will have a real impact on early detection and treatment of this important condition,” Tony Faranesh, a research scientist at Fitbit, said in a press briefing.

Related Fitbit Patent Suggests Smart Ring With Clinical-Grade SpO2 and Blood Pressure Tracking

Post-FDA approval, Fitbit devices will come closer to the Apple Watch in terms of passive heart monitoring capabilities and give it the much-needed ability to send out a warning in the event of atrial fibrillation.

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Researchers Develop Artificial Neurons That Can Make a Venus Flytrap Snap

For the first time, researchers demonstrate an artificial organic neuron, a nerve cell.

For the first time, researchers demonstrate an artificial organic neuron, a nerve cell, that can be integrated with a living plant and an artificial organic synapse. Both the neuron and the synapse are made from printed organic electrochemical transistors.

Read more Scientists Develop World’s First Artificial Neurons to Cure Chronic Diseases

On connecting to the carnivorous Venus flytrap, the electrical pulses from the artificial nerve cell can cause the plant’s leaves to close, although no fly has entered the trap. Organic semiconductors can conduct both electrons and ions, thus helping mimic the ion-based mechanism of pulse (action potential) generation in plants. In this case, the small electric pulse of less than 0.6 V can induce action potentials in the plant, which in turn causes the leaves to close.

“We chose the Venus flytrap so we could clearly show how we can steer the biological system with the artificial organic system and get them to communicate in the same language,” says Simone Fabiano, associate professor and principal investigator in organic nanoelectronics at the Laboratory of Organic Electronics, Linköping University, Campus Norrköping.

In 2018 the research group at Linköping University became the first to develop complementary and printable organic electrochemical circuits — that is, with both n-type and p-type polymers, which conduct negative and positive charges. This made it possible to build printed complementary organic electrochemical transistors. The group has subsequently optimized the organic transistors, so that they can be manufactured in printing presses on thin plastic foil. Thousands of transistors can be printed on a single plastic substrate. Together with researchers in Lund and Gothenburg, the group has used the printed transistors to emulate the neurons and synapses of the biological system. The results have been published in the journal Nature Communications.

Linköping University Campus. Image: Toheeb Adigun (Wikimedia Commons)

“For the first time, we’re using the transistor’s ability to switch based on ion concentration to modulate the spiking frequency,” says Padinhare Cholakkal Harikesh, post-doctoral researcher at the Laboratory of Organic Electronics. The spiking frequency gives the signal that causes the biological system to react.

“We’ve also shown that the connection between the neuron and the synapse has a learning behavior, called Hebbian learning. Information is stored in the synapse, which makes the signaling more and more effective,” says Simone Fabiano.

The hope is that artificial nerve cells can be used for sensitive human prostheses, implantable systems for relieving neurological diseases, and soft intelligent robotics.

Read more MIT’s New ‘Liquid’ Neural Network Learns From Experience So Robots Can Adapt to Changes

“We’ve developed ion-based neurons, similar to our own, that can be connected to biological systems. Organic semiconductors have numerous advantages — they’re biocompatible, biodegradable, soft and formable. They only require low voltage to operate, which is completely harmless to both plants and vertebrates” explains Chi-Yuan Yang, post-doctoral researcher at the Laboratory of Organic Electronics.

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Electronic Caregiver Launches Addison the Virtual Caregiver

Electronic Caregiver (ECG), is debuting Addison the Virtual Caregiver at HIMSS22.

Electronic Caregiver (ECG), a digital health technology and services company, is debuting Addison the Virtual Caregiver at HIMSS22. The company describes Addison as a highly intelligent, engaging, and scalable platform to deliver value-based care. With seamless vitals monitoring, threshold alerts, care plan management, and electronic health record integrations, Addison provides clinical providers and public health stakeholders resources to proactively manage patient care, enhance treatment adherence, and improve outcomes.

Read more Orbita Launches AI-Powered Virtual Bedside Assistant To Improve Patient Care

Built on Amazon Web Services (AWS) using a serverless architecture incorporating microservices, Addison is ECG’s platform-as-a-service (PaaS) which powers all patient-facing and provider-facing applications. Addison incorporates 24 services from Amazon, including Amazon Relational Database Service (Amazon RDS), Amazon Simple Storage Service (Amazon S3), Amazon Virtual Private Cloud (Amazon VPC), AWS Key Management Service (AWS KMS), and AWS Lambda. Addison offers 10x reliability improvements and 100x scalability through automation, responsiveness, and flexibility to meet the surging demand for telehealth, remote patient monitoring (RPM), and hospital-at-home models of care, according to a press release.

“We were customer-centric in our development of Addison and that wasn’t easy because we have multiple types of customers that are all looking for different features in a telehealth solution,” says ECG Chief Technology Officer Dr. David Keeley. “Being able to take feedback across all those strata in our customer ecosystem and design a solution with the flexibility and scalability to meet these diverse needs makes me really proud of what we’re delivering with Addison. It’s a solution for patients, family caregivers, health care organizations, physician practices, home health agencies, care management firms, and senior housing providers.”

ECG is now a technology solution provider within the AWS Partner Network (APN) working with public and private sector health care providers and payors across the globe.

“To have the world’s foremost authority on best practices in the industry review, approve, and validate what we are taking to market with our modernization of Addison is significant. This means that ECG has enhanced automation and improved privacy and security to provide features and functionality that our customers have been demanding. Addison is HIPAA, GDPR, and FHIR compliant,” Keeley notes.

Addison provides clinical providers and public health stakeholders resources to proactively manage patient care, enhance treatment adherence, and improve outcomes. (PRNewswire photo)

“I am proud that our Partner, Electronic Caregiver is transforming the model of care for patients, families, and caregivers by leveraging the capabilities and scalability of AWS technology services and cloud,” said Sandy Carter, Vice President, Worldwide Public Sector Partners and Programs, AWS. “Given the profound impact possible, we are eager to see more clinical providers and public health stakeholders use Addison to proactively manage patient care, enhance treatment, and improve health outcomes overall.”

ECG works with non-profit health providers, academic medical centers, universities, and federal, state, and local programs to deliver impactful health care solutions. Customers include MD Revolution, Methodist Health System, Memorial Medical Center, MountainView Regional Medical Center, Paracelsus Medical University (Austria), Burrell College of Osteopathic Medicine, New Mexico State University, Zia Healthcare Services, and Medicaid-funded providers in Oregon, Idaho, Utah, New Mexico, Arizona, Texas, Iowa, and Michigan.

Partnering with a rural hospital system in Mississippi, a 47% decrease in hospital readmissions through use of ECG’s telehealth services was achieved. Collaborating with regional public health officials, hospital systems, and universities in New Mexico to address a surge in Covid cases, hospital bed capacity was expanded by 77% using RPM at 1/50th of the cost of inpatient care.

“Public health and private sector stakeholders came together to implement a COVID-to-Home program. Had this program not existed, many of those people would not have received any care,” said Dr. John Andazola, Program Director of the Southern New Mexico Family Medicine Residency Program at Memorial Medical Center. “They were at risk for terrible outcomes. Building a structure where we can successfully treat people at home using telehealth and remote patient monitoring so that inpatient capacity can be optimized for all health care needs is really what this program has demonstrated.”

Read more How Amazon Expanded Its Healthcare Aspirations in 2021

About Electronic Caregiver

Electronic Caregiver is a privately held, 11-year-old digital health technology and services company headquartered in Las Cruces, NM (USA). ECG’s mission is to design and deliver innovative, impactful telehealth products and services that bridge the chasm between the doctor’s office and patient’s home to improve outcomes, expand access, and optimize resource allocation. ECG has been qualified as a technology solution provider in the AWS Partner Network (APN). The company’s solutions are available through health care organizations, physician practices, care management firms, homecare agencies, and senior housing providers to deliver hospital-at-home, chronic care management, and remote patient monitoring programs.

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Remote Monitoring and Wearables are Enhancing Patient Care

In recent years, we’ve seen a significant amount of investment in the telehealth space—$3 billion...

In recent years, we’ve seen a significant amount of investment in the telehealth space—$3 billion this year and projected to reach $25 billion by 2025. The onset of the COVID-19 pandemic, with its widespread quarantines and lockdowns, has given telemedicine its moment to shine after years of under-fulfilled promise.

Read more: How AI-Enabled Wearables Are Changing the Way Healthcare Diagnoses Are Conducted

Telehealth, or remote monitoring, refers to healthcare services provided through wearable devices, apps, videos, artificial intelligence, videos, and, of course, telephones. Telehealth profoundly expands the functionalities of Care Management. In healthcare, remote monitoring provides more thorough and efficient interaction, which is also more relaxed and intimate.

According to the Pew Research center, 92% of American adults now have a smartphone and they depend on it. Many prefer sending health data via this device to their healthcare provider rather than visiting the doctor’s office. On the other hand, the remote providers find this exchange of data very helpful in improving health outcomes for their patients.

Remote monitoring enables healthcare providers to care for more patients at a lower cost while also experience less burnout.

With the rising popularity of remote care comes the need for more effective remote monitoring solutions. And, that’s when we need consumer wearable devices, reports MedTechIntelligence.

Wearable sensors for remote care

In recent years, we’ve seen a proliferation of high-quality consumer-grade sensors that can gauge health data such as heart rate and blood pressure and are incorporated into wearables like smartwatches, smart glasses, earbuds, and smart rings. These devices can accumulate patient’s physiological data, which is then transmitted to a data repository, where it is stored and checked for any abnormality. Thus, any detection of disorder in a patient’s vitals will be reported to the patient’s doctors and/or hospital in real-time to act on quickly and prevent a number of problems, such as a sudden heart attack. Technologies are capable of providing patients physiological data from their locations to physicians anywhere in real-time, therefore, enabling remote remediation. For example, data such as blood oxygen saturation, heart rate, and blood pressure can be measured via wearable devices and transmitted from the patient’s locations to their doctors in real-time.

Medical-Grade lifestyle devices

Traditional medical devices, due to complex setup, fall short of inspiring the kind of passion that can drive patient adoption and adherence. It is possible to make medical-grade lifestyle devices by mixing the capabilities of both medical and consumer-grade manufacturers. These devices can be used in remote care, where caregivers can keep track of their patients in real-life to improve the quality of care, while patients are empowered to improve their health.

Read more: Wearable Medical Devices Market Expected to Experience Huge Growth by 2030, Says Market Industry Reports

To build devices that meet the needs of remote care and make them popular among both patients and providers, manufacturers must focus on 4 main areas: Integrity, distribution, privacy, and adherence.

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Chinese Researchers Develop Miniscule Graphene-MoS2 Transistors

Researchers from Chinese universities have created a transistor with the smallest gate length ever.

Researchers from China’s Tsinghua University and East China Normal University have created a transistor with the smallest gate length ever reported. This milestone was made possible by using graphene and molybdenum disulfide and stacking them into a staircase-like structure with two steps.

Read more Fast-Charging Bendable Graphene-Based Supercapacitor Could Power Wearables

Transistors have a few core components: the source, the drain, the channel, and the gate. Electrical current flows from the source, through the channel, past the gate, and into the drain. The gate switches this current on or off depending on the voltage applied to it.

On the higher step, there is the source, and on top of the lower step, there is the drain. Both are made of a titanium palladium alloy separated by the surface of the stairs, which is made of a single sheet of a molybdenum disulfide (MoS2), itself resting on a layer of hafnium dioxide that acts as an electrical insulator, reports GrapheneInfo.

The interior of the higher step is a sandwich of aluminum covered in aluminum oxide, which rests on top of a graphene sheet. The aluminum oxide acts as an electrical insulator, except for a small gap in the vertical wall of the higher step, where the graphene sheet is allowed to contact the molybdenum disulfide. The entire staircase structure rests on a thick layer of silicon dioxide.

Tsinghua University, China

The trick to this design is that the edge of the graphene sheet is used, which means that when the gate is set to the “on” state, it’s only 0.34 nm wide—essentially the width of the graphene layer itself. Another notable feature of this “side-wall transistor” is its negligible current leakage due to higher off-state resistance. Manufacturers could leverage this quality for low-power applications. Best of all, it would be relatively easy to make, although many of the prototypes required quite a bit of voltage to drive.

The research team believes going smaller than 0.34 nm for the gate size is almost impossible.

Read more Flexible Graphene Photodetectors Accurately Measure Health Data in Wearables

The researchers behind the new transistor managed to prove that a functional transistor could be made using one-atom thin materials without inventing a new process for precision positioning of the required layers. However, reliably building billions of these side-wall transistors is still a major challenge.

In the meantime, many companies are working on making gate-all-around (GAA-FET) transistors a reality and standardizing interconnects for chiplet designs.

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Amrita University Launches Wearable For Home Monitoring of Glucose and Blood Pressure

Amrita University, India, has developed a device for home-monitoring of glucose and blood pressure.

Amrita University in Tamil Nadu, India, has developed a device for home-monitoring of glucose and blood pressure. Amrita Spandanam, as the device is called, will be sold online and through pharmacists across the country. The Tamil word ‘Spandanam’ means ‘beat’ in English.

Read more University of Arizona Researchers Develop Inexpensive Blood Pressure Monitoring System Using Pulse Wave Velocity

Developed and patented by the varsity’s Centre for Wireless Networks and Applications, it is a wearable, six-in-one device that is an excellent replacement for a bedside monitor. It can be used to measure six body parameters including blood glucose, blood pressure, heart rate, blood oxygen, respiratory rate, and 6-lead ECG, according to a press release.

“Amrita Spandanam is a revolutionary device that has bagged several US patents, with results published in top scientific journals. It offers a quick, easy, affordable and non-invasive way to monitor and detect diabetes, cardiovascular diseases, hypertension, sleep apnea and allergy attacks from the comfort of one’s home. The product was extensively tested on 1000 patients at Amrita Hospital in Kochi and various remote clinics in Kerala. Last year, these devices were successfully deployed at Amrita Hospital to remotely monitor the progression of severity in COVID-19 patients,” said Dr Maneesha V Ramesh, the Provost of Amrita University who led the team of researchers.

Amrita University Campus (PRNewswire photo)

Amrita Spandanam is connected to the patient’s smartphone. The data is sent to a secure hospital cloud which enables any doctor authorized by the patient to access the vital parameters remotely from any location. The product also integrates multiple -learning models that can predict the potential deterioration of patients’ health and provide early warning decision support to doctors for acute hypotensive episodes, sepsis, sleep apnea, and atrial fibrillation.

Read more Penn State Researchers Develop Wearable Non-Invasive Glucose Monitor

About Amrita University

Amrita partners with academic, industry and governmental institutions across the world to accomplish human-centered, translational, and groundbreaking research. Some of Amrita’s partners include Harvard University, Columbia University, King’s College London, KTH – Royal Institute of Technology, VU Amsterdam, the British Geological Society, University of Oxford, Italian National Research Council, Deakin University, and the University of Tokyo. Sri Mata Amritanandamayi Devi (Amma), a world-renowned humanitarian leader is the founder, Chancellor, and guiding light of Amrita University.

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Researchers Deploy Machine Learning to Improve Mental Health

MIT’s Rosalind Picard & Massachusetts General Hospital’s Paola Pedrelli are united by the belief...

MIT’s Rosalind Picard and Massachusetts General Hospital’s Paola Pedrelli are united by the belief that artificial intelligence may be able to help make mental health care more accessible to patients.

In her 15 years as a clinician and researcher in psychology, Pedrelli says “it’s been very, very clear that there are a number of barriers for patients with mental health disorders to accessing and receiving adequate care.” Those barriers may include figuring out when and where to seek help, finding a nearby provider who is taking patients, and obtaining financial resources and transportation to attend appointments.

Read more Mind Cure Releases iSTRYM: A Digital Platform for Mental Health and Psychedelic Research

Pedrelli is an assistant professor in psychology at the Harvard Medical School and the associate director of the Depression Clinical and Research Program at Massachusetts General Hospital (MGH). For more than five years, she has been collaborating with Picard, an MIT professor of media arts and sciences and a principal investigator at MIT’s Abdul Latif Jameel Clinic for Machine Learning in Health (Jameel Clinic) on a project to develop machine-learning algorithms to help diagnose and monitor symptom changes among patients with major depressive disorder, reports MIT.

Machine learning is a type of AI technology where, when the machine is given lots of data and examples of good behavior (i.e., what output to produce when it sees a particular input), it can get quite good at autonomously performing a task. It can also help identify patterns that are meaningful, which humans may not have been able to find as quickly without the machine’s help. Using wearable devices and smartphones of study participants, Picard and Pedrelli can gather detailed data on participants’ skin conductance and temperature, heart rate, activity levels, socialization, personal assessment of depression, sleep patterns, and more. Their goal is to develop machine learning algorithms that can intake this tremendous amount of data, and make it meaningful — identifying when an individual may be struggling and what might be helpful to them. They hope that their algorithms will eventually equip physicians and patients with useful information about individual disease trajectory and effective treatment.

“We’re trying to build sophisticated models that have the ability to not only learn what’s common across people, but to learn categories of what’s changing in an individual’s life,” Picard says. “We want to provide those individuals who want it with the opportunity to have access to information that is evidence-based and personalized, and makes a difference for their health.”

Machine learning and mental health

Picard and Szymon Fedor, a research scientist in Picard’s affective computing lab, began collaborating with Pedrelli in 2016. After running a small pilot study, they are now in the fourth year of their National Institutes of Health-funded, five-year study.

To conduct the study, the researchers recruited MGH participants with major depression disorder who have recently changed their treatment. So far, 48 participants have enrolled in the study. For 22 hours per day, every day for 12 weeks, participants wear Empatica E4 wristbands. These wearable wristbands, designed by one of the companies Picard founded, can pick up information on biometric data, like electrodermal (skin) activity. Participants also download apps on their phone which collect data on texts and phone calls, location, and app usage, and also prompt them to complete a biweekly depression survey.

Every week, patients check in with a clinician who evaluates their depressive symptoms.

“We put all of that data we collected from the wearable and smartphone into our machine-learning algorithm, and we try to see how well the machine learning predicts the labels given by the doctors,” Picard says. “Right now, we are quite good at predicting those labels.”

Image credit: MIT

Empowering users

While developing effective machine-learning algorithms is one challenge researchers face, designing a tool that will empower and uplift its users is another. Picard says, “The question we’re really focusing on now is, once you have the machine-learning algorithms, how is that going to help people?”

Picard and her team are thinking critically about how the machine-learning algorithms may present their findings to users: through a new device, a smartphone app, or even a method of notifying a predetermined doctor or family member of how best to support the user.

For example, imagine a technology that records that a person has recently been sleeping less, staying inside their home more, and has a faster-than-usual heart rate. These changes may be so subtle that the individual and their loved ones have not yet noticed them. Machine-learning algorithms may be able to make sense of these data, mapping them onto the individual’s past experiences and the experiences of other users. The technology may then be able to encourage the individual to engage in certain behaviors that have improved their well-being in the past, or to reach out to their physician.

If implemented incorrectly, it’s possible that this type of technology could have adverse effects. If an app alerts someone that they’re headed toward a deep depression, that could be discouraging information that leads to further negative emotions. Pedrelli and Picard are involving real users in the design process to create a tool that’s helpful, not harmful.

Read more Sentio Raises $4.5M, Launches Feel to Expand Access to Mental Health Care

“What could be effective is a tool that could tell an individual ‘The reason you’re feeling down might be the data related to your sleep has changed, and the data relate to your social activity, and you haven’t had any time with your friends, your physical activity has been cut down. The recommendation is that you find a way to increase those things,’” Picard says. The team is also prioritizing data privacy and informed consent.

Artificial intelligence and machine-learning algorithms can make connections and identify patterns in large datasets that humans aren’t as good at noticing, Picard says. “I think there’s a real compelling case to be made for technology helping people be smarter about people.”

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March 2022: Peek

In March we have selected a safety wearable device for the utilities and energy distribution sector.

This month we have selected a brilliant safety wearable device for the utilities and energy distribution industry. Daily routines carried out in dangerous areas can lead to careless mistakes even after years. For this reason, PEEK has developed a wearable that automatically warns every employee working on the power grid if dangerous situations occur.

Their solution is a wearable device that operators use in close proximity to high-voltage lines. PEEK’s proprietary technology is able to analyse and identify data from the surrounding environment.

In case the user is too close to a high voltage equipment, PEEK will notify him with a warning signal. In doing so PEEK makes the invisible visible and ensures an extra layer of security avoiding fatal mistakes.

Thanks to a user-centric approach, PEEK manages to encapsulate high-performance sensor fusion (PEEK fusion array) and AI technologies (PEEK AI Stack) in a solid, compact, and easy-to-use wearable device. PEEK is already available in the US and Europe.

For further information visit PEEK´s website www.peek-solutions.com

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High Performance, Breathable Fabric to Power Small Electronics

Using the movement of a body to charge electronic devices such as phones may soon become a reality.

Using the movement of a body to charge electronic devices such as phones may soon become a reality, thanks to the work done on triboelectric nanogenerators (TENGs). But most current TENGs are not breathable, making them uncomfortable to wear. Now, researchers have developed a multilayered TENG made from electrospun fibers, silver nanowires, and a polystyrene charge storage layer that not only has a high electrical performance, but also has superior wearability.

Read more Purdue Engineers Develop Washable Wi-Fi-Powered Smart Clothes That Monitors Health

The triboelectric effect is a phenomenon where a charge is generated on two dissimilar materials when the materials are moved apart after being in contact with each other. Triboelectric nanogenerators (TENGs) use this effect to convert mechanical motion into electrical energy. The compactness of TENGs allows them to be used as wearable devices that can harness the motion of the body to power electronics. Being wearables, the emphasis is placed on the fabric properties (such as the comfort of the material) and the charge-carrying capacity of the nanogenerators. Generally, the triboelectric materials chosen for the nanogenerator should be safe, compatible with the human body (biocompatible), flexible and breathable while being able to maintain a high electrical output performance.

Among the many materials considered for TENGs, electrospun fibers are a promising candidate as they are lightweight, strong, and have desirable electrical properties. Electrospinning is a technique by which solutions of polymers are drawn into fibers using electrical charge. There are ongoing efforts to add metals to electrospun fibers to improve the electrostatic potential and charge-trapping capabilities. But this has led to compromises being made between the comfort and the output performance of the material, reports University of Fukui.

In a recent study published in Nano Energy, researchers from the University of Fukui, Japan and Nanjing University, China have developed an all-fibrous composite layer TENG (AF-TENG) that can easily be integrated with normal cloth. “With our work, we are aiming to provide a new point of view towards wearable energy harvesters and smart textiles,” says Dr Hiroaki Sakamoto, the corresponding author for the study.

University of Fukui, Japan (Image: Hirorinmasa, Wikimedia Commons)

The AF-TENG contains a triboelectric membrane made of two layers of electrospun fibers – one of a material called polyvinylidene fluoride (PVDF) and the other of a type of nylon. Silver nanowires cover these layers. The researchers further added a layer of electrospun polystyrene fibers between the silver nanowires and the triboelectric membrane.

The mechanical motion of the body while walking or running causes the triboelectric layers to gain a charge. This way, the mechanical energy is converted into electrical energy, which can be used to power electronic devices.

Read more Smart Fabrics With Bioactive Inks Monitor Health Of the Wearer By Changing Color

Normally, the charge buildup on the triboelectric surface is gradually lost or dissipated, reducing the surface charge density and the output performance of the nanogenerator. However, in this case, the added polystyrene membrane collects and traps the charge, retaining the surface charge density of the AF-TENG. The researchers used the AF-TENG to light up 126 commercial LEDs each rated at 0.06 Watt, demonstrating the feasibility of the nanogenerator. Moreover, according to Dr. Sakamoto, “The power generation device has flexibility and breathability since all components are composed of fiber materials. This device shows great potential in harvesting the static electricity from our clothes.”

While TENGs are currently limited to power low-powered devices such as LEDs and calculators, improvements to the wearability and output performance are integral steps towards future wearable technology.

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UC Berkeley Engineers Develop New Technique for Making Wearable Sensors

Engineers have developed a new technique for making wearable sensors that enables medical...

Engineers at UC Berkeley have developed a new technique for making wearable sensors that enables medical researchers to prototype test new designs much faster and at a far lower cost than existing methods.

The new technique replaces photolithography — a multistep process used to make computer chips in clean rooms — with a $200 vinyl cutter. The novel approach slashes the time to make small batches of sensors by nearly 90% while cutting costs by almost 75%, said Renxiao Xu (Ph.D.’20 ME), who developed the technique while pursuing his Ph.D. in mechanical engineering at Berkeley.

Related Stretchable Sensor Provides Skin-Like Sensation to Robots, AR/VR

“Most researchers working on medical devices have no background in photolithography,” Xu said. “Our method makes it easy and inexpensive for them to change their sensor design on a computer and then send the file to the vinyl cutter to make.”

A description of the technique was published Jan. 25 in ACS Nano. Xu, who now works at Apple, and Liwei Lin, professor of mechanical engineering and co-director of the Berkeley Sensor and Actuator Center, were the lead researchers.

Wearable sensors are often used by researchers to gather medical data from patients over extended periods of time. They range from adhesive bandages on skin to stretchable implants on organs, and harness sophisticated sensors to monitor health or diagnose illnesses.

These devices consist of flat wires, called interconnects, as well as sensors, power sources and antennas to communicate data to smartphone apps or other receivers. To maintain full functionality, they must stretch, flex and twist with the skin and organs they are mounted on — without generating strains that would compromise their circuitry, reports Alan S. Brown at UC Berkeley.

To achieve low-strain flexibility, engineers use an “island-bridge” structure, Xu said. The islands house rigid electronics and sensor components, such as commercial resistors, capacitors and lab-synthesized components like carbon nanotubes. The bridges link the islands to one another. Their spiral and zigzag shapes stretch like springs to accommodate large deformations.

In the past, researchers have built these island-bridge systems using photolithography, a multistep process that uses light to create patterns on semiconductor wafers. Making wearable sensors this way requires a clean room and sophisticated equipment.

The new technique is simpler, faster and more economical, especially when making the one or two dozen samples that medical researchers typically need for testing.

Making sensors starts by attaching an adhesive sheet of polyethylene terephthalate (PET) to a Mylar (biaxially oriented PET) substrate. Other plastics would also work, Xu said.

A vinyl cutter then shapes them using two types of cuts. The first, the tunnel cut, slices through only the top PET layer but leaves the Mylar substrate untouched. The second type, the through cut, carves through both layers.

A stretchable “smart mesh” made from the two-mode cutting fabrication process. This device could be applied in skin-mounted sweat extraction and sensing. (Image by Peisheng He/UC Berkeley)

This is enough to produce island-bridge sensors. First, tunnel cuts are used in the upper adhesive PET layer to trace the path of the interconnects; then the cut PET segments are peeled off, leaving behind the pattern of interconnects on the exposed Mylar surface.

Next, the entire plastic sheet is coated with gold (another conductive metal could be used as well). The remaining top PET layer is peeled away, leaving a Mylar surface with well-defined interconnects, as well as exposed metal openings and contact pads on the islands.

Sensor elements are then attached to the contact pads. For electronic devices, such as resistors, a conductive paste and a common heat plate are used to secure the bond. Some lab-synthesized components, such as carbon nanotubes, can be applied directly to the pads without any heating.

Once this step is done, the vinyl cutter uses through cuts to carve the sensor’s contours, including spirals, zigzags and other features.

A stretchable “smart mesh” made from the two-mode cutting fabrication process. This device could be applied in skin-mounted sweat extraction and sensing.

A stretchable “smart mesh” made from the two-mode cutting fabrication process. This device could be applied in skin-mounted sweat extraction and sensing.

To demonstrate the technique, Xu and Lin developed a variety of stretchable elements and sensors. One mounts under the nose and measures human breath based on the tiny changes in temperatures it creates between the front and back of the sensor.

“For a breath sensor, you don’t want to something bulky,” Lin said. “You want something thin and flexible, almost like a tape beneath your nose, so you can fall asleep while it records a signal over a long period of time.”

Another prototype consists of an array of water-resistant supercapacitors, which store electrical power like a battery but release it more rapidly. Supercapacitors could provide power for some types of sensors.

“We could also make more complex sensors by adding capacitors or electrodes to make electrocardiogram measurements, or chip-sized accelerometers and gyroscopes to measure motion,” Xu said.

Related University of Waterloo Engineers Develop Durable, Flexible Sensor for Wearables

Size is sensor cutting’s one key limitation. Its smallest features are 200 to 300 micrometers wide, while photolithography can produce features that are tens of micrometers wide. But most wearable sensors do not require such fine features, Xu noted.

The researchers believe this technique could one day become a standard feature in every lab studying wearable sensors or new diseases. Prototypes could be designed using high-powered computer-aided design (CAD) software or simpler apps made especially for vinyl printers.

Other study authors are Kamyar Behrouzi, Peisheng He, Tao Jiang, Guangchen Lan, Ashley Lee, Yu Long, Yande Peng and Dongkai Wang.

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Soft Semiconductors that Stretch Like Human Skin Can Detect Ultra-low Light Levels

Semiconductors are moving away from rigid substrates to more flexible plastic material and even...

Semiconductors are moving away from rigid substrates, which are cut or formed into thin discs or wafers, to more flexible plastic material and even paper thanks to new material and fabrication discoveries. The trend toward more flexible substrates has led to fabrication of numerous devices, from light-emitting diodes to solar cells and transistors.

Read more Stanford Researchers Develop Ultrathin, Flexible Circuits for Wearables

Georgia Tech researchers have created a material that acts like a second skin layer and is up to 200% more stretchable than its original dimension without significantly losing its electric current. The researchers say the soft flexible photodetectors could enhance the utility of medical wearable sensors and implantable devices, among other applications.

Photodetectors today are used as wearables for health monitoring, such as rigid fingertip pulse oximeter reading devices. They convert light signals into electrical ones and are commonly used on wearable electronics.

Stretchable like a Rubber Band

Given that conventional flexible semiconductors break under a few percentages of strain, the Georgia Tech findings are “an order-of-magnitude improvement,” said Olivier Pierron, professor in the George W. Woodruff School of Mechanical Engineering, whose lab measures the mechanical properties and reliability of flexible electronics under extreme conditions, reports Georgia Tech.

“Think of a rubber band or something that’s soft and stretchable like human skin yet has similar electrical semiconducting properties of solid or rigid semiconductors,” said Canek Fuentes-Hernandez, a co-PI formerly in the School of Electrical and Computer Engineering (ECE) and now an associate professor in Electrical and Computer Engineering at Northeastern University in Boston. “We’ve shown that you can build stretchability into semiconductors that retains the electrical performance needed to detect light levels that are around hundred million times fainter than produced by a light bulb used for indoor illumination,” he said.

Extraordinary Tenacity and Teamwork

Bernard Kippelen, vice provost for International Initiatives and an ECE professor, oversaw the work of Youngrak Park, the study’s first author and a Ph.D. candidate in ECE.  Following two-and-a-half years of research, Park uncovered the right combination of chemical compounds that produced a super-soft material with the ability to generate and conduct electricity when exposed to light.

Park found the perfect ratio for all parts of the semiconductor layer to maintain high performance in the photodetector. But it was painstaking work to prove the materials’ stretchability, especially given that a single layer was 1,000 times thinner than a human hair.

Park relied on Kyungjin Kim, then a Georgia Tech Ph.D. mechanical engineering student, to test the material’s reliability. He continued to provide Kim with larger, thicker samples until one with a thickness of 500 nanometers worked.

“It was still super thin. Under dry conditions, it would just crumble. We had to use a water reservoir to keep its shape,” recalled Kim, now an assistant professor in the University of Connecticut’s Department of Mechanical Engineering.

To test for electrical signals coming out of the device under illumination, electronic terminals had to be embedded on it. Yet, those terminals had to be deformable, too, or the entire device would become rigid.

“Fabricating stretchable electronic terminals was a major challenge in and of itself,” said ECE PhD graduate Felipe Andres Larrain, who worked closely with Park and focused on the embedded components.  He is now an assistant professor at Adolfo Ibáñez University in Chile.

Three engineering labs at Georgia Tech collaborated to demonstrate a new level of stretchability of a photodetector. Pictured above is first author Youngrak Park (right) with the lab leads (L to R) Bernard Kippelen, Samuel Graham, and Olivier Pierron. (Photo credit: Ben Wright, Georgia Tech)

While this breakthrough material has been initially integrated into a photodetector and tested for electrical functionality, more testing and optimization is needed to show the materials’ stretchability under multimodal loads and its shelf stability.

“What’s exciting is what these materials and the devices will enable us to develop―namely, the concept of intelligence systems. You have functional surfaces that combine sensors that monitor all kinds of physical properties,” said Graham, former chair of the Woodruff School of Mechanical Engineering and now Dean of Engineering at the University of Maryland.

“This is a very good example of interdisciplinary research — none of this work would have been possible without the collaboration between electrical and mechanical engineers,” Kippelen said. “In the lab we didn’t have any prior experience with stretchable materials. Figuring out how to measure this took a lot of perseverance, creativity and hard work.”

New Smart Applications Possible

The researchers are most excited about the potential of the material to enhance medical wearables. Typically, wristwatches that use rigid biosensors have limitations since flexing the wrist can completely change the sensor’s measurements. They are subject to “motion artifact,” or degraded image quality, caused when a person moves.

The research team foresees rich applications for the soft and stretchable polymer blend beyond wearables for health monitoring. “The soft device also could be attractive for implantable electronics for bio-electronic applications since the interfaces comply with the dynamic motion of the soft biological tissues, reducing the foreign body reaction,” said Kim.

Read more Stretchable System Can Power Wearables By Harvesting Energy From Wearer’s Breathing and Motion

“The potential is fantastic,” added Larrain. “In the long-term, you could develop sensors that could enhance or even replace the human eye or be applied to robotic eyes.”

Fuentes sees the material working in smart agriculture applications, where farmers could attach light sensors into fruits or other produce to monitor growth, disease and to better time harvesting.

Kippelen believes the rubber-like photodiodes that detect ultralow light levels could find applications in detecting, identifying, and characterizing ionizing radiation for nuclear fuel cycle monitoring.

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Chinese Researchers Develop Wearable Electronic Textiles

Researchers from Shanghai, China, have developed an electronic textile with a large-area display.

A team of researchers from Fudan University in Shanghai, China, has developed an electronic textile with a large-area display that could have applications in communications, navigation and healthcare. Their work has been described in Nature. The textile is flexible, breathable and durable, making it an ideal material for practical uses. The fabric is the work of a team led by Huisheng Peng, a professor in the Department of Macromolecular Engineering at Fudan University.

Related Purdue Engineers Develop Washable Wi-Fi-Powered Smart Clothes That Monitors Health

Creating large displays integrated with functional systems that are flexible and durable when worn has been challenging. Conventional solid-state display materials are not readily compatible with textiles because they struggle to withstand the natural deformation that occurs when fabrics are worn and washed. This new design weaves conductive fibers and luminescent fibers together with cotton into a fabric display, and is shown to overcome this issue, reports Fudan University.

Huisheng Peng and colleagues produced a display fabric that is 6 meters long and 25 centimeters wide that can be integrated with a touch-sensitive fabric keyboard and a fabric power supply (in this case, one that harvests solar energy).

This is the conductive and luminescent fibers that we use for weaving, Peng said as he held up a reel of fiber that at first glance is just like ordinary yarns.

Less than half a millimeter in diameter, these fibers come in various colors. And when we plug them in, they begin to glow, Peng said as he picked up a shirt with a logo of “Fudan University” woven with blue fibers. It can be clearly discernible in the room when the power is switched on.

Image credit: Fudan University

There are various applications for the fabric, such as a navigation tool that displays an interactive map or a communications tool that can send or retrieve messages via a Bluetooth connection with a smartphone. The display is produced by illuminating units (electroluminescent units) that form where the conductive fibers and luminescent fibers meet at contact points in the woven fabric.

Is such fabric comfortable? As the diameter of the light-emitting fiber can be precisely adjusted between 0.2 mm and 0.5 mm, clothing woven from this kind of fiber is ultra-fine and ultra-flexible, which can fit the irregular contour of the human body and can be as light and breathable as the ordinary fabric.

After 1,000 cycles of bending, stretching and pressing, the performance of the vast majority of electroluminescent units remained stable. In addition, the brightness of the electroluminescent units remained stable after 100 cycles of washing and drying. With the integration of more functionality, the authors expect these “smart textiles” to shape the next generation of electronic communication tools.

Related Scientists Develop Micro LEDs That Can Be Used In Bendable, Wearable Electronics

Peng believes this invention can revolutionize communication and “help individuals with voice, speech or language difficulties to express themselves to others”. “We hope that woven-fiber materials will shape next-generation electronics by changing the way we interact with electronic devices,” Peng said.

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Epitel Closes $12.5 Million Series A Financing for Seizure Detection Wearable

Epitel, Inc. announced today the closing of a $12.5 million Series A financing for initial pilot...

Epitel, Inc., a digital health company developing a wearable, wireless EEG monitoring platform for seizure detection, announced today the closing of a $12.5 million Series A financing for initial pilot commercialization and further development of its proprietary platform. Epitel received FDA clearance for its first product, a wireless and wearable EEG (brain wave monitor) sensor, and remote access software known as REMI® for use within hospital emergency rooms and critical care units. REMI first received clearance from the U.S. Food & Drug Administration in 2021.

Related NeuroPace Develops Smart Wearable RNS System For The Treatment of Drug-Resistant Epilepsy

Two-thirds of the U.S. population lack ready access to EEGs and most emergency departments lack the capability to adequately monitor EEG (Ward et al., 2012. Neurocrit Care. 16(2):232-40.) REMI, Epitel’s first FDA-cleared product solves this problem with wearable, wireless sensors that can be rapidly and easily applied by a nurse or hospital technician. EEG data is then immediately connected to a cloud-based software platform available to neurologists to review and monitor for seizures at any time from any location. Because the Epitel System is wearable and wireless, it can continue to monitor the patient continuously for 48 hours during their hospital journey, reports BusinessWire.

“Epitel’s first FDA-cleared product, REMI, has the potential to revolutionize the diagnosis, treatment, and management of seizures within the hospital. With Epitel, patients, no matter their geography, may have access to essential EEGs during the most critical times of need,” said Mark Lehmkuhle, Ph.D., Chief Executive Officer of Epitel. “We intend to further expand our product pipeline for use outside the hospital by people living with epilepsy and other seizure conditions. We are honored to have the support of Catalyst Health Ventures, Genoa Ventures, and a strong investment syndicate in our first financing.”

Image: Epitel

Catalyst Health Ventures (CHV) and Genoa Ventures co-led the Series A financing along with participation from Dexcom and OSF Ventures. Wavemaker 360, MedMountain Ventures and Salt Lake City Angels also participated in the round. In conjunction with this close, Vikram Chaudhery, Ph.D., of Genoa Ventures, and Joshua Phillips of CHV have been appointed to the Board of Directors. Andy Rasdal, founding CEO of Dexcom, and Kim Kamdar, Ph.D., of Domain Associates join the board as Executive Chairman and Independent Director respectively. Prior to Series A, the company has been primarily grant-backed with funding from the NIH and Epilepsy Foundation totaling over $7.5 million.

“It is time that EEGs for the brain become as accessible as EKGs for the heart to patients throughout the country. For too long essential neurological services have been inaccessible to large parts of our population,” said Dr. Chaudery, Principal with Genoa Ventures. “Genoa Ventures is excited to support Epitel in their journey to become the leader in remote seizure management and transform how clinicians monitor and diagnose seizures in the ED, ICU, ambulatory, and at-home settings. Most importantly we were excited about Epitel’s potential for broad impact across all these settings and changing the way we think about long-term brain health management.”

Related ULTEEM: Noninvasive Epilepsy Monitoring Wearable That Attaches To Any Ordinary Eyeglasses

“We are excited to partner with the Epitel team to support bringing this disruptive technology to the market,” said Mr. Phillips, Managing Partner of CHV. “Epitel’s technology platform stands out as the first EEG system that may with further development more seamlessly support a seizure patient from the hospital to the home while integrating into existing physician and hospital workflows. With Epitel, the future is brighter for people living with acute and chronic neurological conditions.”

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Foxconn Partners With tBPC and ITRI to Advance Telemedicine

Foxconn Technology Group has announced its expansion into the Southeast Asian medical device market.

Hon Hai Precision Industry Co., also known as Foxconn Technology Group in the market, has announced that it is expanding into the Southeast Asian medical device market with its latest partnership in Taiwan, CNA News reports.

Read more Johnson & Johnson Partners With Microsoft For Digital Surgery Solutions

The multinational electronics producer has signed a cooperation cope with shopper electronics provider Taiwan Biophotonic Corp. (tBPC) and government-backed Industrial Expertise Analysis Institute (ITRI) to develop a long-distance care monitoring platform, reports MobiHealth News.

The companies may collaborate to mix tBPC’s optical sensors with Foxconn’s medical hardware in addition to combine the previous’s medical algorithms into the general software program improvement.

The remote care monitoring platform will be supported and guided by ITRI’s research in electro-optics, information communication, and microsystems.

The consortium plans to test their upcoming technology in a year-long clinical trial at New Taipei’s Tucheng Hospital. The new system will need to be certified by the health authorities in the markets it enters.

A Foxconn factory in the Czech Republic (Photo credit: Nadkachna, Wikimedia Commons)

Negotiations for broader cooperation are also underway with Chang Gung Memorial Hospital and several elderly care centers in an effort to accelerate the rate at which new devices hit the local market and enter international markets.

A McKinsey & Co. report last year said that the digital health market in Asia could reach $100 billion in value by 2025 from $37 billion in 2020, driven by a thriving consumer-centric digital health ecosystem and rising demand.

Read more Smart Contact Lens Startup Mojo Raises $45 Million, Partners with Adidas and Others

In other news, Foxconn disclosed in November last year that it is investing over $700 million in its “3+3” initiative, which refers to three emerging industries: electric vehicles, robots, and digital health. The company started out in contract hardware manufacturing before expanding to hardware and software integration.

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February 2022: SoftPulse™ by Datwyler

Our Innovation of the Month enables the next generation of brain-monitoring devices: SoftPulse™

Our Innovation of the Month enables the next generation of brain-monitoring devices: SoftPulse™ by Datwyler!

Datwyler’s soft dry electrodes offer high wearing comfort, are waterproof, flexible, and biocompatible.

Innovative solution for long-term bio-monitoring applications.

The SoftPulse™ allows dry signal acquisition which eliminates the use of gels and decreases skin irritation significantly. The specific design and characteristics allow usage without special skin preparation and freedom of area for monitoring. It simplifies the correct placement and the patients can apply the electrodes outside the hospital, which significantly increases convenience.

Furthermore, the soft dry electrodes are very robust, can be cleaned easily and used repeatedly. The SoftPulse™ is our solution for long-term bio-monitoring applications as they really improve the treatment comfort for patients.

If you would like to learn more about SoftPulse™, you are lucky: Datwyler is partnering with WT | Wearable Technologies again at the WT | Show at MEDICA 2022! Come and visit us and get introduced to Datwyler!

If you would like to learn more about SoftPulseTM and how they are manufactured and used, visit the WT | Studio Masterclass with Datwyler.

Want to learn more about Datwyler directly? Visit their Website.

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Withings Buys Leading Health and Fitness App 8Fit To Boost Health Insights

Withings, a health tech company, announced the acquisition of 8fit, a worldwide health, fitness,...

Withings, a Issy-les-Moulineaux, France-based connected health tech company, announced the acquisition of 8fit, a worldwide health, fitness, and wellness app with more than 40 million downloads. Available in 6 languages, 8fit offers efficient workouts, customized meal plans, and self-care guidance to users. Its capabilities further strengthen Withings’ ongoing strategy to develop personalized programs that combine sophisticated data with actionable insights that empower users to modify behavior. The company intends to invest more than $30 million in the next three years to accelerate the development of this personalized support.

Related Withings Wins FDA Clearance of ScanWatch – Its Most Medically Advanced Wearable

The acquisition comes on the heels of another deal announced last month. Withings acquired Impeto Medical, a French device company that makes a tool for monitoring peripheral neuropathies. That tech has already been incorporated into the company’s latest smart scale, the Body Scan, which it plans to release in the second half of 2022.

In the context of rising health concerns worldwide, users’ expectations and behavior have shifted towards a need for even more personalized support, through digital solutions such as health & wellbeing apps: acquiring 8fit is the first step in Withings’ ambition to provide value-added support to users, says a press release.

“In recent years, users have shown a growing need for solutions to help them (re)gain control over their health. Not only do people seek to understand their health by monitoring key health metrics, they also need to be supported, engaged and motivated throughout their journey to better health. We now feel it’s key to enter the era of the “product-service-data”, combining personal health data with personalized wellness plans, and further deliver on our mission to empower anyone to be healthier in the long-run. With the acquisition of 8fit, we are well placed to deliver a strategy that combines elegantly designed health devices, enhanced health data and experienced advice that is simple to adopt and designed specifically for our customers. ” said Mathieu Letombe, CEO of Withings.

Withings integrates 8fit into its health offering to strengthen personalized wellness capabilities

Launched in 2014, 8fit promotes healthy lifestyles by providing personalized nutrition, physical activity, and mindfulness programs that address all aspects of its users’ health to help them achieve their goals. The app offers thousands of supervised and customizable workouts such as HIIT, boxing, Pilates, yoga or meditation, and hundreds of balanced, healthy, and easy-to-prepare recipes. Like Withings, 8fit puts the user’s health at the center of its personalized plans. Far from being a sports performance app, 8fit shares with Withings a vision focused on long-term health.

“From the services we offer, it’s clear that Withings and 8fit are aligned to help users achieve their health goals. We are excited to combine Withings’ expertise in connected health devices that collect accurate, quality data with our fitness and nutrition plans. Together, we will provide our users with a more holistic health offering to help them lead healthier, happier lives,” said Lisette Fabian, CEO of 8fit.

Image: 8Fit

Device and Advice

Since introducing the worlds’ first connected scale in 2009, Withings has continually innovated and built the largest connected health ecosystem in the market, comprised of smart scales, blood pressure monitors, smartwatches, sleep monitors, and thermometers. Its devices capture 20 vital health parameters such as blood pressure, ECG, weight, heart rate, activity levels, and sleep patterns to help people achieve health goals and detect changes in their health status.

Withings’ easy-to-use and non-invasive devices offer best in class health metrics that support a longitudinal understanding of holistic health. On average, Withings’ scales users weigh themselves every 3 days, suggesting strong engagement already with the device. When combined with behavior change nudges, users will be supported and motivated to make behavioral and lifestyle changes that improve outcomes.

Related We’re Maintaining Our Weight and Sleeping More in Quarantine, Withings’ COVID-19 Lockdown Study Reveals

The move to pair personalized health insights with Withings health data was first announced at CES 2022, with the unveiling of Body Scan, a sophisticated health station with the ability to monitor segmental body composition, assess nerve activity and assess heart rhythm using a 6-lead ECG. Going beyond weight management, when launched in H2, 2022 Body Scan will also come with in-app access to personalized, holistic plans encompassing sleep, physical exercise, nutrition, and stress reduction, as well as clinical specialists for those who require more support.

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The Booming Market of Digital Musculoskeletal Care. What The Future Holds?

Musculoskeletal disorders (MSD) are injuries or disorders of the muscles, nerves, tendons, joints...

Musculoskeletal disorders (MSD) are injuries or disorders of the muscles, nerves, tendons, joints, cartilage, and spinal discs. In the United States, chronic back, neck, and joint pain afflicts millions of Americans and accounts for the largest share of U.S. health care expenditures. In 2016, spending on musculoskeletal disorders cost an estimated $380 billion, according to the Institute for Health Metrics and Evaluation.

Read more KINETIC White Paper Examines How Wearables Can Help Prevent Workers From Developing Musculoskeletal Disorders

“It is part of the macro boom that we see within digital health,” Boris Kheyn-Kheyfets, senior manager at Deloitte Consulting, told MobiHealthNews. However, he added that “musculoskeletal, in particular, deserves special mention within that, because musculoskeletal is an extremely large total addressable market. And the reality is that you can save quite a bit to employers and plans around surgery avoidance.”

According to a study published in JAMA, just over 57% of the low back and neck pain spending came from private insurers and was associated with working-age adults. Meanwhile, spending for that condition increased nearly 7% between 1996 and 2016, though the number of prevalent cases only increased by just more than 1% annually.

Mark Luck Olson, CEO of RecoveryOne, thinks that instead of surgeries early intervention with physical therapy would save money. But the goal for digital musculoskeletal care should be more than just moving a physical therapy appointment to a virtual environment.

“That end-to-end journey is what we’re trying to innovate. We are not trying to digitize the visit. Sure, visits can be part of many episodes, but that’s not the point,” he said. “The point is to improve the cost and quality of that journey from ouch to all better, not digitizing the visit.”

A comprehensive approach to treating chronic musculoskeletal pain by combining physical therapy with behavioral health and lifestyle changes will create lasting relief and help employees avoid expensive surgeries and other medical interventions.

Photo: Dario Health

Acceptance of digital health and therapeutics by employers and health plans has accelerated rapidly in the wake of the COVID-19 pandemic — as have remote-work technologies and advances in digital health initiatives.

Musculoskeletal-focused digital apps (MDAs) are increasingly being used for physical therapy and rehabilitation, telehealth, pain management, behavioral health, and remote patient monitoring. Clinicians select and recommend MDAs for optimal patient care.

Digital musculoskeletal clinic Hinge Health launched HingeConnect to set a new standard in personalized care via seamless electronic medical record (EMR) integration, real-time interventions, and robust care coordination between digital and in-person providers.

DarioHealth, a leader in digital chronic condition management, launched Upright GO S, a wearable device that suppresses slouching and enhances posture.

The device uses biofeedback to track the user’s posture and vibrates when they begin to slouch, signaling them to straighten up. It is placed on the upper back either by a hypoallergenic adhesive strip or using a silicone necklace.

Read more British Army Exploring Utilization of Wearable Technology for Injury Prevention

With remote work as the new normal, employers will need to address employee health risks. By leveraging the power of digital health for MSK therapeutics solution.

Digital technology is enabling new approaches to solving old problems like musculoskeletal pain. So, now is the time to take advantage of the opportunity before us.

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Dexcom G6 CGM Gets Coverage in Alberta for Children and Youth Living With Diabetes

Dexcom announced today that people with diabetes who are under 18 years old and require ongoing...

Dexcom, the global leader in real-time continuous glucose monitoring (CGM), announced today that people with diabetes who are under 18 years old and require ongoing use of insulin or insulin pump therapy are eligible for public coverage of the Dexcom G6 CGM System through Alberta Health.

Alberta joins five other jurisdictions in providing public coverage of real-time CGM systems under provincial health plans. The Non-Insured Health Benefits Program also recently announced coverage for First Nations and Inuit children. With expanded public coverage for CGM, more children and youth can access this standard of care technology, helping them manage their diabetes.

Related People With Diabetes Who Use Dexcom G6 CGM Can Now View Their Data on Garmin Smartwatch Or Cycling Computer

“We applaud the Alberta government for recognizing the value of real-time CGM and supporting access for its residents living with diabetes. For youth in particular, diabetes management can make day-to-day life a challenge. Now, more young people living with diabetes will be able to learn and play with their peers with far less worry for their families about their glucose levels,” says Laura Endres, Senior Vice President and General Manager of Dexcom Canada.

The Dexcom G6 CGM System uses a small, wearable sensor and transmitter to continuously measure and send glucose levels wirelessly to a display device; and a compatible smart device or receiver that displays real-time glucose data to users without the need for calibration† or scanning. The Dexcom G6 CGM System provides users with real-time alerts, including a predictive Urgent Low Soon alert, and can warn the user in advance of hypoglycemia — giving them time to take appropriate action before it occurs. With the use of the Dexcom Follow App, parents and caregivers can also access their loved one’s glucose levels remotely and be alerted if they are going out of their target glucose range. As part of the Alberta Health Services coverage program, users will now be able to order and pick up their Dexcom CGM supplies through their local pharmacy, reports BusinessWire.

Image: Dexcom

“In my practice, managing glucose through the use of real-time CGM has led to reduction in A1c, fewer incidences of hypoglycemia and an overall improvement in quality of life,” says Dr. Karin Winston, a pediatric endocrinologist in Calgary. “Today’s announcement means more pediatric patients will have access to this life-changing technology to manage their diabetes.”

In 2021, the Diabetes Canada Clinical Practice Guidelines review committee updated its recommendations for glucose monitoring, stating that real-time CGM (rtCGM), like the Dexcom G6, should be used by individuals with type 1 diabetes treated with basal-bolus insulin injections or an insulin pump in order to reduce A1C and increase time in range, reduce duration and incidence of hypoglycemia and, in adults, improve quality of life.

Related Medtronic Launches Smart Insulin Pen with Real-Time CGM Data For People on Multiple Daily Injections

About Dexcom

Dexcom, Inc. empowers people to take control of diabetes through innovative continuous glucose monitoring (CGM) systems. Headquartered in San Diego, California in the United States, and with operations in Canada, Dexcom has emerged as a leader of diabetes care technology. By listening to the needs of users, caregivers, and providers, Dexcom simplifies and improves diabetes management around the world.

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NTU Researchers Develop Way to Detect Depression Risk Using Data from Wearables

Researchers have developed a predictive computer program that uses data from wearable technology...

Researchers at Nanyang Technological University (NTU) in Singapore, have developed a predictive computer program that uses data from wearable technology to detect individuals who are at increased risk of depression.

In trials using data from groups of depressed and healthy participants, the program achieved an accuracy of 80 per cent in detecting those individuals with a high risk of depression and those with no risk.

Read more Apple Launches Study To Detect Depression, Cognitive Decline Using Apple Watch and iPhone

Powered by machine learning, the program, named the Ycogni model, screens for the risk of depression by analyzing an individual’s physical activity, sleep patterns, and circadian rhythms derived from data from wearable devices that measure his or her steps, heart rate, energy expenditure, and sleep data.

Depression affects 264 million people globally1, and is undiagnosed and untreated in half of all cases, according to the World Health Organization. In Singapore, the COVID-19 pandemic has led to increased concerns over mental well-being. A new study by Singapore’s Institute of Mental Health pointed to a likely increase in mental health issues, including depression related to the pandemic.

Activity trackers are estimated to be worn by nearly a billion people, up from 722 million in 2019.

To develop the Ycogni model, the scientists conducted a study involving 290 working adults in Singapore. Participants wore Fitbit Charge 2 devices for 14 consecutive days and completed two health surveys, which screened for depressive symptoms, at the start and end of the study, reports NTU.

The average age of the participants was 33 years old, with the sample closely mirroring the ethnic population of Singapore. Participants were instructed to wear trackers all the time and to remove them only when taking a shower or when the device needs charging.

Professor Josip Car and the Ycogni computer model (Photo credit: NTU)

Professor Josip Car, Director, Centre for Population Health Sciences at NTU’s Lee Kong Chian School of Medicine (LKCMedicine), who co-led the study, said: “Our study successfully showed that we could harness sensor data from wearables to aid in detecting the risk of developing depression in individuals. By tapping on our machine learning program, as well as the increasing popularity of wearable devices, it could one day be used for timely and unobtrusive depression screening.”

Associate Professor Georgios Christopoulos, from NTU’s Nanyang Business School, who co-led the study, said: “This is a study that, we hope, can set up the basis for using wearable technology to help individuals, researchers mental health practitioners and policy makers to improve mental well-being. But on a more generic and futuristic application, we believe that such signals could be integrated with Smart Buildings or even Smart Cities initiatives: imagine a hospital or a military unit that could use these signals to identify people-at-risk.”

Read more LivaNova and Verily Enroll First Patient in Study to Detect Depression Using Smartwatch

The results of the study were published in the peer-reviewed academic journal JMIR mHealth and uHealth in November.

Over the next year, the team hopes to explore the impact of smartphone usage on depressive symptoms and risk of developing depression by enriching their model with data on smartphone usage. This includes how long and frequent individuals use their mobile phones, as well as their reliance on social media.

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January 2026: Nutromics Lab-on-a-Patch

Skin-worn patch enabling continuous, real-time biomarker monitoring for personalized healthcare.
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December 2025: Miniaturized Temperature Sensing Accuracy

AS6223 – Miniaturized temperature sensing accuracy for next-generation wearables.
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November 2025: Transforming Cancer Care with Wearables

Wearable implant delivering continuous, personalized cancer therapy for everyday life.
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October 2025: The New Era of Meta Smart Glasses

Meta Smart Glasses 2025: Sleek, AI-powered eyewear for hands-free capture and connection.
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September 2025: Innovation in Oxygen Monitoring

OxiWear - Innovation in wearable health, protecting you from silent hypoxia every day.
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August 2025: Ultra-Thin Battery Revolution in Wearables

NGK's 0.45mm EnerCera Battery: Non-Swelling, Non-Flammable Power for Wearables
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July 2025: Mudra Link - Neural Gesture Control Wristband

Touchless neural wristband for seamless gesture control across devices and platforms.
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June 2025: Biobeat’s Next-Generation Wearable Solution

AI-powered wearable for continuous, cuffless vital sign monitoring in clinical and home settings.
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May 2025: Breakthrough in Continuous Glucose Monitoring

Needle-free biosensor patch for real-time glucose monitoring and metabolic health insights.
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April 2025: Robeauté’s Brain Microrobot

Robeauté's microrobot enables precise, minimally invasive brain intervention with cutting-edge tech.
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March 2025: The Future of Cognitive Health

G.Brain boosts focus and brain health with AI-powered neurotechnology.
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February 2025: Revolutionizing Women's Health

Nettle™ by Samphire Neuroscience: A non-invasive, drug-free solution for women's health.
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January 2025: The Future of Heated Apparel

Revolutionizing heated clothing with sensor-driven, real-time temperature control.
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December 2024: Remote Health with Smart Patches

Wearable tech enables non-invasive, continuous health monitoring, transforming patient care.
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November 2024: Bearmind Launches Brain Health Wearable

Bearmind’s helmet sensor tracks head impacts in real time, advancing safety in contact sports.
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October 2024: Ambiq Empowers Digital Health with Edge AI

Ambiq’s low-power chips enable personal AI on-device for digital health and remote monitoring.
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September 2024: The Revolutionary .lumen Glasses

Empowering the visually impaired with smart, award-winning technology for greater independence.
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August 2024: Breakthrough in the Field of Health Monitoring

BioButton: award-winning sensor for continuous vital health monitoring with advanced AI technology.
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July 2024: Innovation in the Fight Against Voice Disorders

Speaking without vocal cords, thanks to a new AI-assisted wearable device.
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June 2024: World's Most Accurate Hydration Sensor

To prevent cramps and collapses, the company FLOWBIO has launched its hydration sensor S1.
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