Articles tagged with Wearable Devices
Engineers have shown that air flow through open-cell foam can be used to perform digital computation, analog sensing, and combined digital-analog control in soft textile-based wearable systems. The researchers designed foam-based fluidic resistors to create two-dimensional pneumatic logic circuits embedded in textile-based devices.
Researchers developed a low-cost, flexible sensor for badminton players that provides direct feedback on postures, footwork, arm swings, and muscle strength. The sensor uses triboelectric technology and offers real-time monitoring and recognition accuracy of 97.2% for seven technical movements.
Scientists at Yokohama National University have successfully developed a roll-to-roll process to create elastic substrates for stretchable electronic devices. The resulting materials demonstrated functionality even when stretched by 70%, opening up new possibilities for wearable technology and smart packaging.
A new study published in JAMA Network Open found that mental health apps can significantly reduce symptoms of depression, anxiety, and suicidality in individuals waiting for their initial psychiatric appointment. The study, which involved over 2,000 patients, showed improvement in all groups, regardless of the app used.
Researchers created RoboFabric, a wearable fabric that can stiffen on demand for medical applications and soft robotics. The technology reduces muscle activity by up to 40% when assisting joints while lifting loads.
Scientists have created a new type of battery that is soft and stretchable, making it suitable for wearables and medical implants. The 'jelly batteries' use hydrogels to deliver an electric current and can be stretched up to ten times their original length without losing conductivity.
Scientists develop fully solid, stretchy battery with 5000% expansion capacity, outperforming traditional liquid electrolyte designs. The new design boasts higher average charge capacity and improved stability over 67 cycles.
A study published in Nature Medicine found that off-the-shelf wearable trackers can monitor the response to two treatments for atrial fibrillation and heart failure. The devices provided clinically useful information similar to in-person hospital assessments, with a neural network helping to analyze missing data.
The NTU team created a compact and flexible light-based sensing device, like a plaster, to provide highly accurate biomarker readings within minutes. The device detects glucose, lactate, and urea levels in sweat with ultra-high sensitivity and dynamic range.
Researchers at Tokyo Institute of Technology developed a flexible and durable bioelectrode material composed of single-wall carbon nanotubes on a stretchable poly(styrene-b-butadiene-b-styrene) nanosheet. The material showed impressive flexibility, high water vapor permeability and resilience for extended use.
Researchers at North Carolina State University have developed a lightweight fluidic engine that can power muscle-mimicking soft robots for use in assistive devices. The new engine generates significant force and is untethered to an external power source, making it particularly attractive for improving people's ability to move their upp...
Researchers at the University of California - San Diego developed a soft, stretchy electrode that can simulate pressure or vibration sensations using electrical signals. The device overcomes existing pain-inducing issues with rigid metal electrodes by conforming to the skin, providing localized stimulation.
A systematic review found that community-dwelling older adults are more likely to use wearable monitoring devices if they receive support from healthcare professionals or peers. The interventions that increased awareness and used collaborative goal-setting tools showed the best results.
A wearable health monitor developed by Washington State University researchers can accurately measure levels of important biochemicals in sweat during physical exercise. The device has the potential to track health conditions and diagnose common diseases, including diabetes, gout, kidney disease, and heart disease.
A study analyzing 5 million nights of sleep data identifies five main sleep types, with frequent changes between these types offering insights into chronic health conditions like diabetes and sleep apnea. Long-term tracking of sleep patterns may unlock new public health insights.
Researchers at North Carolina State University have developed an AI-powered method to train robotic exoskeletons to autonomously assist users in various movements, reducing energy consumption by up to 24.3% for able-bodied individuals and 15.4% for those with mobility impairments.
Researchers from USC Viterbi School of Engineering have developed ingestible sensors that track gastrointestinal health in real-time. These 'smart pills' use AI and wearable technology to detect gases associated with gastritis and gastric cancers, offering a significant step forward in ingestible technology.
Scientists developed an AI-powered system to track tiny devices that monitor markers of disease in the gut. The system includes a wearable coil and ingestible pill with optical gas-sensing membranes, pinpointing device location and measuring gases like ammonia. Future improvements aim to make the device smaller and more power-efficient.
Researchers have developed a study using smartwatches to monitor Parkinson's symptoms over time in early-stage patients. The study found significant declines in gait and tremor, as well as changes in speech, with the smartwatch detecting these changes more effectively than traditional tools.
Scientists developed a miniaturized micro-spectrometer to detect multiple toxic and greenhouse gases, offering increased control over individual exposure. The technology uses machine learning and metasurface spectral filter arrays to create a compact sensor that can be integrated into wearable devices.
A novel wearable brain scanner has given the clearest ever picture of young children's developing brains, measuring electrical brain activity with millisecond-by-millisecond precision. The study, published in eLife, opens up new possibilities for tracking developmental milestones and neurodevelopmental conditions like autism.
Researchers have developed a mathematical theory of knitted materials, enabling the creation of programmable textiles with adjustable elasticity. The study, led by Georgia Tech physicists, explores the relationships between yarn manipulation, stitch patterns, and fabric behavior to expand knitting's applications beyond clothing.
Scientists at TIBI employed AI to enhance the design and production of nanofibers used in acoustic energy harvesters, resulting in higher power density and energy conversion efficiency. The AI-generated nanofibers produced better performance than conventionally fabricated devices.
Assistant Professor Sai Manoj Pudukotai Dinakarrao at George Mason University has received $50,000 in funding for a project that aims to develop continuous and lightweight authentication for wearable and portable embedded systems.
A new study shows that a fully digital, AI-based lifestyle coaching program can effectively reduce blood pressure in adults with hypertension. The program, which leverages data from wearable activity trackers and BP monitors, also increases participant engagement and reduces the need for manual clinician outreach.
Researchers developed a wearable ultrasound patch that provides three-dimensional data on cerebral blood flow, addressing clinical standard limitations. The device offers hands-free, continuous monitoring and was tested on healthy volunteers with accurate results, paving the way for potential use in patients with neurological conditions.
Researchers at Rice University developed a new material that mimics skin elasticity and motion types while preserving signal strength in electronics. The material, made by embedding ceramic nanoparticles into an elastic polymer, stabilizes radio-frequency communication and minimizes energy loss.
A study of 14,399 women found that both step-based and time-based exercise targets were associated with lower risks of early death and cardiovascular disease. The research suggests that individuals should choose a goal aligned with their personal preferences rather than focusing on specific metrics.
A new study using wearable Bluetooth devices found that staff members dominated social interactions in four UK care homes, with residents having limited social contact. The findings suggest that wearable technology can be used to improve quality of care by reducing isolation and increasing interaction between staff and residents.
A new Northwestern University study found that the COVID-19 pandemic significantly increased interest in wearable health-monitoring devices among low-income Hispanic and Latine adults. Despite growing interest, several barriers remain, including lack of affordability, accessibility, and usability, which prevent these groups from adopti...
Researchers at the University of Missouri have developed a soft, self-charging material that can track vital signs like blood pressure and heart activity wirelessly. This innovation has significant implications for early disease detection and timely interventions in chronic conditions.
Researchers used wearable devices to study the behavior of 3- to 6-year-olds, finding that they modulated their behavior across the school day and self-regulation declined over time. The study suggests that tools like wearable technology can help parents and teachers identify impulsive and inattentive behaviors and develop strategies t...
Researchers developed a bioelectronic chip that can detect vitamins C and D in body fluids, offering a low-cost and easy-to-use solution for micronutrient monitoring. The chip is disposable, flexible, and can be adapted for wearable devices, enabling personalized diets and prevention of deficiencies.
Researchers at Princeton University have developed a device that improves image quality in holographic displays, enabling a wider field of view and more stable images. The new technology has the potential to transform various industries, from healthcare to home repairs.
Researchers from Pohang University of Science & Technology have fabricated a small-scale energy storage device that can stretch, twist, fold, and wrinkle. The device features fine patterning of liquid metal electrodes using laser ablation, allowing it to maintain its energy storage performance under repeated mechanical deformations.
Researchers developed a deep-learning model to predict atrial fibrillation, giving early warnings with an accuracy of around 80%. The model, called WARN, uses heart rate data to calculate a probability of danger, providing crucial time for preventive measures.
EPFL researchers develop DNGEs, 3D-printable double network granular elastomers that can vary their mechanical properties. These inks enable the creation of flexible devices with locally changing properties, eliminating the need for cumbersome mechanical joints.
Researchers at NC State University developed a fabric-based touch sensor that can control electronic devices through touch, utilizing machine learning algorithms to improve accuracy. The device, integrated into clothing, activates and controls functions like mobile apps, passwords, and video games with gestures on the sensor.
Researchers from the Institute for Basic Science created QLEDs using a ternary nanocomposite film that enhances carrier delivery to quantum dots, resulting in optimal device performance. The devices exhibit high brightness and low threshold voltage, with no damage when stretched up to 1.5 times.
A new series of studies will test the effectiveness of PATCH, a USC-designed wearable device that accurately captures everyday activities. The device integrates multiple sensors to measure physical activity, sedentary time, and sleep in children.
A new study by University of Vermont researchers found consistent associations between perceived stress scores and factors like total sleep time, heart rate variability, and respiratory rate. The study used wearable Oura ring data to detect changes in stress levels during sleep, potentially leading to early interventions.
A thermal camera can improve energy expenditure calculations by wearable devices, reducing inaccuracies from 40% to under 6%. The device tracks breathing rate and body temperature using a low-resolution thermal camera, which could be incorporated into smartwatches for $45 or less.
Researchers create universal method for creating wearable electronics with increased sweat permeability, enabling reliable long-term monitoring of biosignals. The device allows for continuous and stable monitoring of vital signs without signal disruption from perspiration.
Researchers have developed an organic photovoltaic film that is both waterproof and flexible, enabling a solar cell to be used on clothes without compromising performance. The breakthrough film retained up to 96% of its initial performance after being submerged in water or stretched beyond its limit.
A new material has been developed with adaptive durability, meaning it becomes stronger and more conductive when subjected to impact or stretching. The material's conductivity is also improved by adding a small amount of PEDOT:PSS, making it suitable for wearable devices and personalized medical sensors.
The novel approach enables efficient transmission, reception, and decoding of data from thousands of microelectronic chips, mimicking how neurons in the brain communicate. The sensor network can be implanted into the body or integrated into wearable devices, saving energy and bandwidth.
Researchers have developed a miniaturized optical sensor that can detect glucose levels in human blood plasma with comparable sensitivity to laboratory-based sensors. The device operates wirelessly using a coin battery and has demonstrated its viability in detecting glucose levels between 50-400mg/dL.
Researchers developed mesoporous metal oxides on flexible materials using synergetic effect of heat and plasma at lower temperatures. The devices can withstand bending thousands of times without losing energy storage performance.
A team of UCLA engineers has developed a soft, thin, stretchy device that can detect movement in larynx muscles and translate signals into audible speech with nearly 95% accuracy. The device is made up of two components and uses machine-learning technology to assist patients with voice disorders.
A four-year study by Dartmouth researchers tracks changes in student mental health during college, identifying key populations and stressors. The study found that first-year and female students are at risk for high anxiety and low self-esteem, while sophomores experience increased social activity but higher stress levels.
Researchers at the University of Illinois at Urbana-Champaign have created a highly stretchable sensor that can monitor and transmit plant growth information without human intervention. The sensor is resilient to humidity and temperature and can send a wireless signal to a remote monitoring location.
Researchers developed ultra-thin defect-free semiconducting fibers, over 100 meters long, which can be woven into fabrics. The fibers demonstrate excellent electrical and optoelectronic performance, enabling various applications such as wearable electronics and sensors.
Researchers at Stanford have created skin-like integrated circuits that are five times smaller and operate at one thousand times higher speeds than earlier versions. These soft electronic devices can drive a micro-LED screen and detect Braille arrays with high sensitivity.
Researchers developed a wearable device for non-invasive monitoring of hemodynamic indicators like heart rate, blood pressure, and oxygen saturation. The photoacoustic imaging watch offers valuable insights into disease diagnosis and treatment.
Researchers have developed a flexible and wearable triboelectric nanogenerator to efficiently harvest low-frequency mechanical energy from the human body. The device, made using paper-cutting methods, has great application prospects in extendable battery life and self-powered wearable electronics.
Research highlights significant security, privacy and safety issues in female-oriented technologies, including period-tracker apps and fertility smart devices. The study found inadequate regulations and industry practices in data collection and sharing, posing a potential threat to users' sensitive information.
Researchers have demonstrated the feasibility of using wearable technology to measure the emotional responses of coffee experts during tastings. The study found significant correlations between biomedical signals and data from conventional questionnaires, confirming the viability of this approach for enhancing coffee quality assessment.
A new study published in PLOS ONE found that COVID-19 infections cause significant physiological differences between males and females. Males experience larger increases in skin temperature, breathing rate, and heart rate during infections, while also maintaining higher levels during recovery.
A study found that increasing daily step count can counteract the health consequences of too much sedentary time. The optimal number of steps per day to achieve this benefit was between 9,000 to 10,000 steps/day, which lowered mortality risk by 39% and incident CVD risk by 21%.
The new skin demonstrates excellent mechanical performance, self-adaptive camouflage capabilities, and long-term stability. It can quickly recognize and match the background by modulating optical signals in response to external stimuli.