Articles tagged with Wearable Devices
The device can monitor hemoglobin levels in deep tissues with high spatial resolution, providing critical information for timely interventions. It overcomes limitations of existing methods, such as MRI and X-ray-computed tomography, which are bulky and only provide immediate status information.
Researchers developed a biodegradable material that decomposes in weeks to months, replacing toxic metal components of electronic devices. The starch-based polymer uses natural enzymes and has the right properties for sensors, offering an alternative to complex polymers and reducing e-waste.
Researchers from Florida Atlantic University have developed a prototype of a novel wearable device that can continuously monitor physiological parameters associated with heart failure in real-time. The device uses sensors embedded in a lightweight belt to track thoracic impedance, electrocardiogram, heart rate, and motion activity, pro...
Researchers at the University of Missouri are developing a wearable heart monitor using a breathable material with antibacterial and antiviral properties. The device will track heart health via dual signals, providing continuous monitoring for early detection of heart disease.
Researchers developed an app to track CPAP use, sleep patterns, and other health metrics to provide a new adherence metric that aligns therapy with individual need. This tool can help patients and providers deliver more effective sleep apnea treatment by tracking progress toward a personalized dose of therapy.
Researchers at UT Austin developed a graphene-based e-tattoo that tracks electrodermal activity on the palm, enabling unobstructive ambulatory sensing. This technology reduces social stigma and provides accurate readings, addressing limitations of current bulky devices.
Researchers developed a method to measure overall fitness using wearable devices, outperforming current consumer smartwatches and fitness monitors. The model uses machine learning to predict VO2max during everyday activity, providing accurate predictions based on heart rate and accelerometer data.
Researchers at University of Pennsylvania School of Engineering and Applied Science developed a new electrostatically controlled clutch that enables soft robotic hands to hold 4 pounds, 40 times more than before. The clutch uses a fracture-mechanics-based model to achieve this feat while requiring only 125 volts of electricity.
A recent study published in Nature Computational Science reveals that specific regions of the brain process both individual and combined words, while others focus solely on individual words. The research could contribute to the development of wearable neurotechnology devices that can decode language directly from brain activity.
Researchers at KAUST have developed a soft and flexible electronic 'e-skin' that can detect minute temperature differences between inhalation and exhalation, as well as touch and body motion. The material's island-bridge atomic structure provides an inherent softness and flexibility ideal for on-skin applications.
A KAIST research team has developed a surface-lighting microLED patch for UV-induced melanogenesis inhibition. The patch demonstrated significant suppression of melanin synthesis and minimized epidermal photo-toxicity, making it a promising treatment option for skin diseases such as spots and freckles.
Scientists at North Carolina State University have created a low-cost solution for making wearable electronics by embroidering power-generating yarns onto fabric. The technique allows for self-powered sensors, including motion tracking and numeric keypads, with durable performance even after washing and rubbing tests.
A new technique allows printing electronic circuits onto curved and corrugated surfaces without binding agents, paving the way for soft electronic technologies. Prototype smart contact lenses, pressure-sensitive gloves, and transparent electrodes have been created using this method.
Researchers used wearable activity trackers to derive health metrics, including heart rate distribution and walking frequency, that correlated with clinically measured parameters. These findings suggest that activity-tracker data can identify surrogate markers of disease severity, enabling remote monitoring and potential personalized t...
Researchers at Mayo Clinic developed an AI algorithm that accurately detects weak heart pumps using single-lead Apple Watch ECGs. The system has shown promising results, rivaling medical treadmill diagnostic tests in accuracy, and holds potential for scalable screening and prevention of heart failure.
The American Heart Association statement highlights telehealth's benefits in managing cardiovascular disease, including cost-effectiveness and improved rehabilitation. However, challenges like access to broadband internet and privacy security concerns hinder widespread adoption.
The National Science Foundation has awarded $800,000 to support the development of Edge AI applications in a proposed wearable diabetes management device. The project aims to create a smart, wearable device that monitors blood sugar levels without the need for frequent blood draws, reducing delays and increasing privacy and security.
Researchers from Yokohama National University have developed a flexible film for batteries that can operate reliably in air, offering potential for highly deformable batteries in wearable devices. The film shows excellent oxygen gas impermeability and extremely low moisture permeability, making it suitable for wearable applications.
A study of 9,303 US adults found that people with cardiovascular disease were less likely to use wearable devices, highlighting disparities in access and use. The research emphasizes the need to ensure equitable access to wearables to benefit high-risk populations.
Researchers will develop interactive game-based mental health intervention using autonomic biofeedback training to identify users' emotional states. The technology aims to provide personalized interventions for stress- and anxiety-related events in real-time.
Researchers found that actors' brain activity suppressed when hearing their own name during performance, indicating potential impact of theatre training on human brain. The study also investigated interpersonal coordination between actors and found specific brain systems involved in social interactions.
A new study using wearable devices found that moderate-to-vigorous physical activity significantly reduces cardiovascular disease risk, even when total physical activity volume is increased. Increasing the proportion of intense physical activity within overall activity levels has an additional substantial benefit.
Researchers developed an AI model that uses daily step counts to predict the likelihood of unplanned hospitalization during cancer therapy, offering personalized care and potential prevention of treatment interruptions. The model was tested on data from wearable consumer devices and showed strong predictive performance.
A team co-led by CityU developed a wearable electrotactile rendering system that can mimic the sensation of touch with high spatial resolution and a rapid response rate. The device has various application potential, including enhancing VR/AR experiences and facilitating work in thick gloves.
Researchers used data from 100,000 UK Biobank participants to develop predictive models of mortality risk using only 6 minutes of steady walking collected by smartphone sensors. These models achieved similar accuracy to traditional measures of gait speed and walk pace.
A study published in Body Image found that social media use is associated with lower appearance satisfaction. Engaging with content from friends and family was found to have a significantly stronger negative impact on appearance satisfaction compared to celebrities or influencers.
Researchers at UT Austin developed a semicrystalline polymer that combines strength and flexibility, overcoming challenges of mixed materials in robotics and electronics. The new material is 10 times as tough as natural rubber and can be controlled with light.
Taking more than 8,200 steps per day may protect against obesity, sleep apnea, and other conditions. The study analyzed data from over 6,000 participants and found that increasing daily steps can reduce the risk of chronic diseases.
Researchers have created a wearable insect repellent by encapsulating IR3535 in biodegradable polymer and shaping it into a ring or bracelet. The repellent continuously evaporates, forming a barrier for insects, offering several hours of protection.
Robotic exoskeletons have been shown to provide intensive high-quality rehabilitation and potentially improve functional outcomes in individuals with MS. However, experts agree that wide acceptance depends on further clinical studies aimed at determining optimal selection criteria and long-term outcomes.
Scientists at Shinshu University created an ultrathin fiber-mesh thermistor that improves the performance of wearable medical sensors. The new technology provides overheat protection, gas-permeability, and transparency, making it suitable for on-skin or implantable devices.
Imperial College London researchers have developed a new low-cost sensor thread called PECOTEX that can be embedded into clothing to monitor vital signs. The sensors, which cost $0.15 to produce, can track breathing, heart rate, and gases like ammonia, potentially leading to diagnosis and monitoring of disease.
A recent clinical trial published in Circulation found that Fitbit wearable devices can identify patients with undiagnosed atrial fibrillation, a condition that can lead to strokes. The study, led by Massachusetts General Hospital, used a novel algorithm to detect irregular heart rhythms based on Fitbit sensors.
A new wearable device study, DETECT, found that sensor data significantly improves seven-day average predictions for COVID-19 infection by 32.9% in California and 12.2% nationwide. The study tracked physiological changes before symptom onset, providing a valuable tool for predicting viral threats.
Researchers reviewed mobile sensing designs, outcomes, and limitations to better understand its capacity for remote detection, longitudinal tracking, and exposure tracing. Despite technical and societal challenges, advances in data analytics and machine learning may improve data quality and scalability.
A multidisciplinary team at UC San Diego received NSF funding to create a system that remotely monitors patient posture, movement, and physical therapy treatments using wearable technology and machine learning. The goal is to enable personalized physical therapy treatments and improve health outcomes.
Researchers have developed a novel pressure sensor using paper as the medium, achieving high sensitivity and detecting a broad range of pressures. The sensor's structure and multilayering enable conductive properties, making it suitable for flexible and wearable electronic devices in healthcare and other industries.
A wearable translator is being developed by ONR to provide real-time language translation for the military and civilians. The device will be able to understand context and generate appropriate translations, benefiting various professionals such as airport personnel and tourists.
A new sign language called thumbcode allows users to type 30 words per minute, compared to 60 words per minute for touch typists. The device-independent language uses hand positions to represent characters and can be used with gloves or video cameras.