BME Seminar: Patricio Arrue
Monday, April 24, 2023 - 12:00 p.m.
Patricio Arrué
Ph.D. Candidate
Biomedical Engineering
"Wearable Sensors for Brain Injury Prediction and Frailty Assessment"
Keating 103
Live Zoom Link | Passcode: BearDown
Hosts: Dr. Beth Hutchinson and Dr. Shang Song
(Instructor permission required for enrolled students to attend via Zoom)
Persons with a disability may request a reasonable accommodation by contacting the Disability Resource Center at 621-3268 (V/TTY).
Abstract: Advances in medical technology, accessibility to health care, healthier lifestyle, diet, and hygiene have allowed us to increase life expectancy from 46 years in 1950 to almost 74 in 2019. Worldwide, the population is becoming older, and new aging-related challenges have appeared, increasing the burden on a debilitated-in-workforce healthcare system. Wearable sensors and sensor-enhanced health information systems are regarded as one way to face the implications of the aforementioned demographic change. Indeed, continuously monitoring health time series would bring detailed aspects that could potentially enable early diagnosis and an informed prognosis of any disease or injury. This dissertation presents some efforts on developing methods for injury prediction and frailty assessment from real-time health signals obtained from wearable sensors. The results presented in this work show ways in which data acquired from wearable sensors could be translated into injury prediction and frailty assessment. These are topics that seem to be deeply significant for future demographic changes in healthcare systems regarding increased fall risks and the frailty relationship with aging.