Wearable Acoustic / Vibration Sensing and Machine Learning for Human Health and Performance
Recent advances in digital health technologies are enabling biomedical researchers to reframe health optimization and disease treatment in a patient-specific, personalized manner. This talk will focus on my group’s research on leveraging machine learning based methods for deriving health and performance information from wearable vibration and acoustic sensing measurements. The focus will initially be on the study of cardiogenic vibration signals such as the seismocardiogram, and application to cuffless blood pressure measurement, heart failure monitoring, and human performance. The discussion will then focus on miniature contact microphone-based measurements of joint acoustic emissions (e.g., from the knees) in the context of movement, and examining how these acoustic characteristics are altered by musculoskeletal injuries and disorders (e.g., arthritis). These acoustic and vibration sensing modalities can complement existing efforts in more conventional electrophysiology, actigraphy, and biomechanics measures to provide effective decision aids to persons and caregivers for advancing human health and performance.
Omer Inan is the Linda J. and Mark C. Smith Chair in Bioscience and Bioengineering and Associate Professor in the School of Electrical and Computer Engineering, and Adjunct Associate Professor in the Coulter Department of Biomedical Engineering at Georgia Tech. He received his BS, MS, and PhD in Electrical Engineering from Stanford in 2004, 2005, and 2009, respectively. From 2009-2013, he was the Chief Engineer at Countryman Associates, Inc., a professional audio manufacturer of miniature microphones and high-end audio products for Broadway theaters, theme parks, and broadcast networks. His research focuses on non-invasive physiological sensing and modulation for human health and performance, and is funded by DARPA, NSF, ONR, NIH, CDC, and industry. He has published more than 250 technical articles in peer-reviewed international journals and conferences, and has ten issued patents. He has received several major awards for his research including the NSF CAREER award, the ONR Young Investigator award, and the IEEE Sensors Council Early Career award. He also received an Academy Award for Technical Achievement from The Academy of Motion Picture Arts and Sciences (The Oscars). While at Stanford as an undergraduate, he was the school record holder and a three-time NCAA All-American in the discus throw.