Articles tagged with Wearable Devices
Researchers at Rice University developed wearable textile-based devices that utilize fluidic control to provide sophisticated haptic cues. The system enables users to navigate through real-world environments using tactile feedback, potentially enhancing visual and auditory inputs for those with impairments.
Researchers at Pohang University of Science & Technology have developed a sensor technology called computer vision-based optical strain (CVOS) that enhances durability and streamlines fabrication processes. This breakthrough enables the precise recognition of intricate bodily motions through a single sensor.
Researchers created stretchable strain sensors that can measure large and complex deformations accurately. The new sensors respond quickly, detecting deformations in under 22 milliseconds, and can be used to monitor organs for diseases like bladder abnormalities.
Researchers developed a digital biomarker that detects early signs of Alzheimer's disease using EEG headbands, identifying abnormal levels of proteins in sleep patterns. The study found measurable problems with memory reactivation in 205 aging adults, paving the way for affordable devices to monitor brain health.
A new study using MINDWATCH brain-monitoring technology reveals that listening to music and drinking coffee can measurably alter brain arousal, improving performance in working memory tasks. Perfume had a modest positive effect as well.
Researchers highlight the potential of wearables to unlock new insights into physical activity and health risks. However, they also underscore challenges including data standardization, industry-academia gaps, and unequal access to these devices.
Researchers explore techniques to enhance mechanical and electrical performance of hydrogel sensors, enabling harsh environment resistance, human skin compatibility, and intelligent data processing. Hydrogels' toughness and conductive capabilities make them suitable for wearable electronics applications.
Researchers at MIT developed a wearable ultrasound device that can detect breast cancer in early stages, reducing the risk of late-stage diagnosis. The device, attached to a bra, allows users to image breast tissue from different angles and is portable, easy to use, and provides real-time monitoring.
Researchers found that just 4.5 minutes of vigorous activity per day can reduce the risk of some cancers by up to 32 percent. This type of physical activity, known as VILPA, involves short bursts of activity such as housework or power walking.
Researchers have developed ultra-thin and flexible 2D biochemical sensors with high sensitivity for detecting target substances, revolutionizing sensing technology. However, integrating these sensors into comprehensive systems for large-scale industrial manufacturing poses significant challenges.
Researchers at University of Houston develop prototype of fully stretchable fabric-based lithium-ion battery, addressing safety concerns and enabling new applications for wearable technology. The innovation uses conductive silver fabric as a platform and current collector, providing stable performance and safer properties.
A study found that taking more daily steps improves symptoms and physical limitations for people with heart failure, with little association seen beyond 5,000 steps. Participants who increased their step counts experienced improved symptom control and physical function.
A study published in JACC: Heart Failure found that people with heart failure who increase their daily step count experience improvements in health status over a 12-week period. The study suggests that wearable device data, such as step counts, can be clinically significant and inform future clinical trials and care.
A study analyzing wearable device data from over 190,000 users found that vaccinated individuals experience less severe COVID-19 symptoms and recover faster. Vaccination reduces the risk of severe disease, hospitalization, ICU admission, and death.
A KAIST research team created a water-resistant, transparent, and flexible OLED using MXene nanotechnology. The material can emit and transmit light even when exposed to water. The study focused on producing an adequate encapsulation structure and suitable process design to improve the reliability of MXene OLED.
The STREAM project developed the StreamEXO exoskeleton, which reduces musculoskeletal system's ergonomic risk of physical overload by 50% and muscle fatigue by 30%. The device generates forces to support workers' backs during heavy manual material handling activities.
A novel microfluidic sweat lactate sensor has been developed to measure sweat lactate levels continuously during exercise without interruptions from air bubbles. The device uses a larger-than-usual sweat reservoir to trap air bubbles, preventing them from contacting the sensors' electrodes.
Researchers developed a liquid nanofoam cushion that can absorb and dissipate high-force blows in collisions, reducing the risk of injury. The material is more flexible, comfortable to wear, and can be designed as lighter and smaller protective devices.
Researchers at Tokyo University of Science developed a novel wearable biosensor that can monitor sweat electrolyte levels, providing insights into the body's electrolyte balance. The sensor can be seamlessly applied to textiles and transmits measurements wirelessly.
Research leaders collaborate with organizations and regulators to develop digital tools for Parkinson's clinical trials. The Digital Drug Development Tools initiative accelerates the regulatory endorsement of these tools, enabling more objective and patient-centered measures.
A research team at CityU developed a multifunctional composite polymer coating with both radiative and non-radiative cooling capacity, enhancing heat dissipation in wearable electronics. The cooling interface achieved temperature drops of over 56°C, improving the performance of skin electronic devices.
A new study creates graphene capsules using seaweed and salt, enabling high precision, real-time biomechanical and vital signs measurements. This sustainable technology has the potential to outperform traditional non-sustainable sensors.
Scientists have invented a smart textile that can sense and measure body movements using nanomagnets. The device is self-powered, stretchy, durable, waterproof, and can be made with a sewing machine for under $3. It converts muscle activities into quantifiable electrical signals sent wirelessly to phone apps.
New smart pants based on fiber optic sensors can track various types of physical activities in the clinic or at home, detecting signs of distress. The sensing approach achieved 100% accuracy in classifying activities and has several advantages, including low-cost and reliability.
A new wearable device can track adrenal steroid levels in real-time, providing insights into hormonal rhythms and revolutionizing endocrine disease diagnosis. The U-RHYTHM technology offers a more accurate picture of hormone balance than traditional tests taken at one point, enabling earlier treatment interventions.
Interventions with wearable activity trackers increased physical activity levels, reduced sedentary behavior, and improved physical functioning in hospitalized adults. This systematic review and meta-analysis of 15 studies and 1,900 participants supports the use of wearable technology to enhance patient outcomes.
A systematic review and meta-analysis found that wearable activity trackers improve patient activity, reduce sedentary behavior, and enhance physical function, supporting faster recovery in hospitalized adults. The study examined 15 studies with a combined total of 1911 patients and found significant improvements in clinical outcomes.
Scientists have developed a technique for applying liquid metal to surfaces that don't easily bond with it, using force-responsive adhesion. The method allows for the creation of electronic 'smart devices' from everyday materials like paper and plastic.
A study of US adults found that fewer than 1 in 4 use wearable devices to prevent or manage cardiovascular disease, with inconsistent daily use among those who do. This disparity may worsen health inequalities unless strategies are implemented to promote equitable adoption of these tools.
Researchers at City University of Hong Kong developed a novel, wearable, olfaction feedback system with wireless capabilities for virtual reality. The system releases various odours using miniaturized odour generators and has been tested with an average success rate of 93 percent.
A study published in JMIR Formative Research found that wearable sleep devices show promise in positively impacting sleep health among marginalized populations. Participants perceived the device as easy to use and comfortable to wear, suggesting its potential for improved sleep health. However, barriers to adoption, such as housing sta...
A deep learning-based framework called EMGSense enables accurate wearable EMG device usage through AI self-training techniques. It achieves average accuracy of 91.9% in gesture recognition and 81.2% in activity recognition, outperforming state-of-the-art approaches.
A wearable device developed by Georgia Tech researchers detects obstructive sleep apnea and quality of sleep at home, addressing comfort, time, access, and cost issues. The patch has an 88.5% accuracy rate for sleep apnea detection and can predict the likelihood of developing the condition.
A study on Chinese schoolchildren found that younger kids had higher close contact rates than older peers, with most face-to-face interactions occurring during breaks. The authors recommend a classroom ventilation rate to mitigate airborne transmission, suggesting improved ventilation can reduce COVID-19 risk.
A team of researchers developed a deep-learning model called WearNet that uses Fitbit data to detect depression and anxiety. The study found that WearNet performed better than state-of-the-art machine learning models in detecting these conditions, producing individual-level predictions.
Researchers at UC San Diego have created a wearable ultrasound system that can monitor deep tissue vital signs continuously, even in subjects on the go. The device uses machine learning to track movement and adjust its focus, providing real-time cardiovascular data.
Researchers at City University of Hong Kong have developed a multifunctional additive that improves the efficiency and stability of perovskite solar cells by modulating film growth. The additive reduces defects, leading to higher power conversion efficiency and lower energy loss.
Researchers at Fudan University have developed braided current collectors that increase the energy density of fiber lithium-ion batteries. The new design improves ion transport within the electrode, increasing charge density and reducing obstruction to lithium ion transport.
Researchers developed a new type of wearable sweat sensor that can analyze sweat for vital signs like dehydration and blood sugar levels. The device, called the 'sweatainer,' offers a glimpse into the future of health monitoring with its non-invasive technology.
A team of engineers at UC San Diego has developed a stretchable ultrasonic array capable of serial, non-invasive imaging of tissues up to 4cm below the skin surface. This technology offers several key applications in healthcare monitoring, including cancer detection and sports injury assessment.
Researchers at Mount Sinai Hospital developed a machine learning model to analyze wearable device data, identifying an individual's degree of resilience and psychological well-being. The study found that heart rate variability and resting heart rate metrics collected from Apple Watches were predictive of resilience states.
A team of researchers has created a touch-responsive fabric armband that can be used as a keyboard or sketchpad. The device uses a pressure-sensitive hydrogel sandwiched between layers of knit silk to interpret user input, allowing for real-time writing and gaming on computers.
Researchers at the University of Texas at Austin developed an ultrathin, lightweight electronic tattoo for continuous, mobile heart monitoring. The device provides two key measurements: electrocardiogram and seismocardiogram, giving clinicians a better chance to catch red flags for heart disease early.
A team of researchers at North Carolina State University has created a zinc-ion battery prototype with a fiber-shaped cathode, which can power a wrist watch. The team used graphene oxide and manganese dioxide materials to create a yarn-shaped battery that is strong, flexible, and electrically conductive.
Researchers developed an AI algorithm that allows electronic devices to express uncertainty when faced with unexpected data, improving cough detection technology. The new approach enables more precise detection with fewer sound samples per second, reducing computing power and addressing privacy concerns.
A KAIST research team has developed a highly sensitive, wearable piezoelectric blood pressure sensor for continuous health monitoring. The sensor's accuracy meets international standards, with errors within ±5 mmHg and a standard deviation under 8 mmHg for both systolic and diastolic blood pressure.
Scientists at the University of Chicago have created a new material that can bend in half or stretch to twice its original length while still emitting light. The stretchable OLED display has applications in wearable electronics, health sensors, and foldable computer screens.
A new study published in The European Heart Journal – Digital Health found that smart watch data can predict a higher risk of developing heart failure and irregular heart rhythms. Researchers used machine learning to analyze ECG recordings from wearable devices and identified extra beats as indicators of increased cardiovascular risk.
Researchers at EPFL have developed a novel solution for wearable assistive technologies by creating fiber-like pumps that can generate high pressure and flow rate. These pumps can be integrated directly into clothing, allowing for silent, vibration-free operation and requiring only a palm-sized power supply.
The new system, built by researchers at the University of Waterloo, uses low-power radar technology to track activities and alert medical experts to potential health issues. It can detect decline in mobility, increased likelihood of falls, and onset of medical conditions without the need for wearable devices.
Researchers developed the first wearable sensor for monitoring muscle atrophy, a condition typically caused by degenerative disease or aging. The sensor can measure small-scale volume changes in overall limb size and monitor muscle loss of up to 51%. This technology has the potential to create less burden on patients and improve treatm...
Researchers at GIST developed a novel thermoelectric generator inspired by zebra skin, creating a high in-plane temperature gradient for generating electricity. The design uses a pattern resembling black-and-white zebra stripes to increase its applicability while reducing environmental impact.
Research from Penn State found that self-monitoring physical activity through smartwatches leads to increased motivation and activity levels. Participants who received prompts to report their activity took hundreds more steps in a given day compared to those who didn't receive such prompts.
Chung-Ang University researchers develop a novel flexible supercapacitor platform with vertically integrated gold electrodes in a single sheet of paper. The design shows low electrical resistance, high foldability, and good mechanical strength, making it suitable for wearable devices.
A new study published in PLOS One demonstrates the potential of machine learning and artificial intelligence to aid in the development of new treatments for Rett syndrome. The researchers used a wearable electronic chest patch to monitor cardiac activity and movement, and developed an algorithm that identified patterns specific to seve...
Researchers found that certain wearable devices using bioimpedance sensing technology can interfere with CRT devices, causing pacing interruptions or unnecessary shocks to the heart. The study suggests that future clinical studies are needed to evaluate patients with CIEDs and wearables.
The new technology enables wireless communication and battery-less operation using a custom chip that can be powered by LTE signals. This approach reduces e-waste and increases device lifespan by up to several decades.
Northwestern University researchers developed a wearable device to track vocal usage and alert users to overuse before vocal fatigue sets in. The device, accompanying algorithms, and app help prevent injury among professionals and patients with voice disorders.
Researchers create 'Lego-like' BIND interface to assemble stretchable devices with excellent mechanical and electrical performance. The interface allows for easy connection of modules, enabling the development of highly functional wearable devices or soft robots.
A smart necklace called SmokeMon tracks a user's every puff and provides valuable insights into their smoking behavior. By analyzing heat signatures, the device can detect when a cigarette is being lit, how much smoke is inhaled, and when the person holds it to their mouth, helping to prevent relapse and improve quit rates.