Rahim Esfandyar-pour, an assistant professor of electrical engineering and computer science at UC Irvine shares how they developed a wearable, wireless, battery-free, bioelectronic sensor for long-term health monitoring.
Worn as a flexible skin patch and paired with a standard Android smartphone or a custom wrist-watch-like reader, the system simultaneously tracks cortisol, glucose, lactate and urea in sweat. Those biomarkers are associated with stress response, metabolic activity, physical exertion and kidney function.
The researchers say the platform could support future applications in chronic disease management, stress and mental health monitoring, sports performance, preventive medicine, early disease detection research, and remote community health monitoring.
The study was published in Nature Biomedical Engineering.