Wearable Sensor Development For Health Monitoring & Personalized Medicine
Document Type
Presentation Abstract
Presentation Date
10-31-2022
Abstract
Generated by the functioning of many bodily sources, physiological signals hold essential information about the state of the body’s major structures, including brain activities, eye movements, muscle contractions, and cardio-respiratory features, to name a few. Therefore, monitoring and stimulating such biosignals widely help diagnose, treat, and prevent several health conditions and diseases. Unfortunately, the current “gold standard” for studying patients’ sleep is obtrusive, expensive, and often inaccurate. This talk will introduce our novel wearable systems that promise unobtrusive, low-cost, and accurate sensing and stimulation capabilities for reliable physiological signals in comfortable in-home settings. I will discuss how our wearable cyber-physical systems can provide clinical-grade solutions to simultaneously sense multiple biosignals at non-standard locations and perform real-time brain entrainment for closed-loop personalized sleep care practices. I will also identify potential research on deploying these systems in more diverse real-world healthcare directions, such as overall health monitoring, mental illness and brain disorders detection, treatment, and prevention, and brainpower unlocking. Lastly, I will take a broader look at challenges in making wearable CPSs an open sensing and stimulation platform.
Recommended Citation
Nguyen, Anh, "Wearable Sensor Development For Health Monitoring & Personalized Medicine" (2022). Colloquia of the Department of Mathematical Sciences. 647.
https://scholarworks.umt.edu/mathcolloquia/647
Additional Details
October 31, 2022 at 3:00 p.m. Math 103