Smartwatch Data Guard: AutoML Spots Dangerous Vitals Anomalies With 98.9% Accuracy
Researchers at India's National Institutes of Technology used the TPOT AutoML framework to detect anomalies in smartwatch-generated vital signs over ...
Researchers at India's National Institutes of Technology used the TPOT AutoML framework to detect anomalies in smartwatch-generated vital signs over ...
Researchers in Colombia and Brazil have validated a two-device wearable system costing under $83 that measures heart rate and respiratory ...
A five-month NUS pilot study will combine continuous Apple Watch monitoring with three embedded randomised trials to test real-time digital ...
Researchers have welded a carbon-based conductive skin onto a stretchy rubber ionomer, producing a strain sensor sensitive enough to detect ...
A small feasibility study found that pregnant participants could wear a research-grade accelerometer around the clock and complete text-message sleep ...
A pilot study of the XoMotion Beta 2 self-balancing exoskeleton reports high usability among adults with chronic motor-complete paraplegia while ...
A new systematic scoping review maps 44 studies of modified ankle–foot orthoses in neurological rehabilitation, revealing strong evidence for gait ...
A new review in Advanced Composites and Hybrid Materials details how advanced functional materials, signal decoupling strategies and artificial intelligence ...
A prospective study found that the Samsung Galaxy Watch accurately detected moderate-to-severe sleep apnea and identified high hypoxic-burden risk when ...
In recent years, technological advancements have ushered in a new era of self-monitoring health devices, particularly in the field of ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine