Signal Processing Seminar

Realizing the potential of precision medicine with mobile sensing and analytics

Emre Ertin
Ohio State University

Recent advances in wearable sensing and mobile computing have given researchers the ability to collect unprecedented amounts of data about everything from biology to behavior that can explain and improve people's health status. Day-to-day data from wearable sensors allows for better and more personalized decisions in regard to health care and management. Specifically, continuous monitoring of physiology and behavior can help us to assess disease risks, perform disease prevention and early detection of chronic conditions. However, there still exist a multitude of challenges to implement this vision of precision medicine. Wearable sensors provide large, noisy, complex data streams about the many facets of our life and health, but there is still a a gaping need for computational techniques that can transform sensor data into set of useful bio-markers readily interpretable by clinicians. This talk will describe our recent work in pairing rich probabilistic models with Bayesian methods to dramatically expand the scale and quality of physiological data we can obtain in the field while minimizing the burden to participants.

Overview of Signal Processing Seminar