Japanese pharmaceutical company Eisai, together with Oita University in Japan, has built what could be the world's first AI model that uses data from wearable devices to predict Alzheimer's disease, the most common form of dementia.
Their research team embarked on a study to create a cost-effective, practical tool to pre-screen people suspected of developing the disease. Their findings were...
Monitoring athletic performance is certainly nothing new. Advanced technologies in wearable sensors to monitor and evaluate physiological biomarkers offer increased opportunities to collect and quantify data without direct proximity to the athlete.
To better optimize workouts and evaluate the full performance, it’s necessary to get detailed cardiovascular and biomechanical insight into how the...
Researchers from Hong Kong have come up with a new robotic device for improving the gait and lower limb function of stroke patients.
WHAT IT'S ABOUT
The mobile ankle-foot exoneuromusculoskeleton developed by a research team from Hong Kong Polytechnic University (PolyU) is a rehabilitation robot specifically designed for stroke patients with hemiplegia, or paralysis that affects one side of the...
A research project led by researchers from the University of Melbourne will be receiving A$2 million ($1.3 million) in funding and support from Google.org.
The MATCH (Music Attuned Technology - Care via eHealth) project is one of the 15 projects selected for the $25 million AI for the Global Goals grant, which seeks to help organisations accelerate progress towards meeting the United Nation's...
Engineering and IT researchers from Monash University have combined nanotechnology and AI to create wearable technology for remote health monitoring.
They came up with an ultra-thin wearable patch that is worn on the neck to measure speech, neck movement and touch, as well as breathing and heart rates. It does this using a frequency/amplitude-based neural network called Deep Hybrid-Spectro, which...
Black children and kids from lower socioeconomic backgrounds were less likely to participate, share data and engage with research that used wearable devices, according to a study published in JAMA Network Open.
The study included wearable device data collected from more than 10,000 children ages 11 through 13 years old in the ongoing Adolescent Brain and Cognitive Development (ABCD) Study. ...
Google announced Tuesday it had rolled out fall detection features for its Pixel Watch.
According to a blog post, the wearable will use its motion sensors to determine if the user has taken a hard fall. If the watch doesn't sense any movement for about 30 seconds, it will vibrate, sound an alarm and display an on-screen notification, where users can say they're OK or that they need assistance....
Deidentifying data from wearable devices may not be enough to protect users' privacy, according to a review of studies published in the Lancet Digital Health.
The analysis focused on studies that evaluated whether individuals could be reidentified based on biometric signals from wearables. The researchers included 72 studies in their final review. Most focused on using EEG, ECG and inertial...
Two Japanese companies, health tech firm Four H and Aculys Pharma, a biopharmaceutical company focused on treating mental health disorders, are collaborating to further understand and help people with sleeping disorders.
Their goal is to have an objective understanding of sleeping disorders, particularly narcolepsy and excessive daytime sleepiness associated with obstructive sleep apnea (OSA)....
A wearable device could help detect and monitor patients struggling with poor sleep, pain and anxiety after a traumatic event, according to research published in JAMA Psychiatry.
The study tracked more than 2,000 participants for eight weeks after they reported to an emergency department following a traumatic stress exposure, like a car crash, physical assault, sexual assault, serious fall or...
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