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.
SourceDartmouth College·JournalProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies·TypeObservational study·DateMar 13, 2024
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.
A new American Heart Association scientific statement highlights the value of AI technology in improving cardiovascular disease patient outcomes. Despite its potential, AI applications face gaps and challenges, including robust clinical validation and addressing biases.
Researchers developed a wearable sticker that can detect subtle hand movements, enabling individuals with disabilities to communicate more easily. The sensors show high sensitivity and accuracy in recognizing gestures and translating them into words or commands.
A new smartphone application using AI and facial-image processing software detects the onset of depression before symptoms appear. MoodCapture captures facial expressions and surroundings, then evaluates them for clinical cues associated with depression.
A groundbreaking technology recognizes human emotions in real time, combining verbal and non-verbal expression data for accurate emotional information extraction. The system features a personalized skin-integrated facial interface that enables self-powered, flexible, and transparent emotion recognition.
A new research proposes a hemispherical shell shape to optimize organic photovoltaic cells, achieving a 66% increase in light absorption and improved angular coverage. The study presents advanced computational analysis, revealing the remarkable capabilities of this innovative design.
Scientists at University of Utah and University of Massachusetts Amherst uncover the physics behind dopant-polymer interactions that explain inconsistent conductivity issues in organic materials. The discovery reveals that a critical mass of electrons triggers collective screening, allowing rest of electrons to flow unimpeded.
Researchers develop PSEP, a compact and silent wearable thermal control device that offers real-time flow-rate monitoring and self-sensing capability. The device can adjust temperatures by up to 3°C, enhancing personal comfort and features an intuitive smartphone interface for seamless wireless control.
A small, wearable ultrasound sticker can monitor organ stiffness and detect subtle changes that signal disease progression. The device has been shown to identify early signs of acute liver failure in rats and may one day help doctors diagnose internal organ failure more effectively.
Researchers at UW developed a wireless wearable earring that monitors earlobe temperature, detecting fever, eating, exercise, and ovulation. The earring's battery life is 28 days, and it can be personalized with fashion designs without affecting accuracy.
A clinical trial is underway to help patients with opioid use disorder (OUD) and post-traumatic stress disorder (PTSD) stick with medication treatment. The trial uses a patient-administered wearable device that delivers mild electrical stimulation to alleviate symptoms of both conditions.
Researchers at North Carolina State University found that yarn-shaped supercapacitors (YSCs) in the 40-60 centimeter range provide the best overall energy output. The study, which aimed to explain changes in YSC performance across a wide range of lengths, used mathematical models to determine the most efficient length for YSCs.
Researchers developed a method to track changes in maternal heart rate variability using non-invasive wearable devices. These changes can potentially predict preterm birth, providing a new digital biomarker for early detection.
A KAIST research team has developed a stretchable and adhesive microneedle sensor that can detect physiological signals without being affected by sweat and dead skin. The sensor allows for long-term stable control of wearable robots, enabling precise movement recognition for rehabilitation treatments.
Researchers at IIT develop fully immersive iCub3 avatar system for real-world testing, enabling remote control of robots up to 300km away. The system addresses challenges posed by real-world variability and has evolved into a new robot, ergoCub, designed for work environments.
Researchers create supramolecular ink, a game-changing technology for OLED display manufacturing, enabling more affordable and environmentally sustainable products. The material can also be used in wearable devices, luminescent art, and 3D printing.
The NYU Tandon team will continue developing VIS4ION, a wearable technology platform designed to help people with blindness and low vision navigate their local environments. The platform uses AI services to interpret sensor data from cameras, microphones, GPS, and motion sensors, providing users with audio and haptic feedback.
The hip-assist robot EX1 improves walking ability, dynamic balance, and one-leg standing endurance in older adults. The four-week exercise program using EX1 significantly reduces the risk of falls and enhances overall health.
Researchers have developed a groundbreaking 'smart glove' that can track and analyze hand movements with high accuracy, helping stroke patients recover and regain mobility. The wearable device uses machine learning models to detect finger joints and grasping forces, providing valuable insights for personalized exercise programs.
The study introduces an ultrathin elastic LIG-hydrogel-based nanocomposite that overcomes mechanical mismatch limitations in wearable and implantable bioelectronics. The cryogenic transfer approach enables fivefold enhancement in intrinsic stretchability.