Presented on November 13, 2018 at 12:00 p.m.-1:00 p.m. in the Marcus Nanotechnology Building, Room 1117-1118, Georgia Tech.Omer Inan is an Associate Professor of Electrical and Computer Engineering and Adjunct Associate Professor 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. 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. While at Stanford as an undergraduate, he was the school record holder and a three-time NCAA All-American in the discus throw.Runtime: 49:48 minutesThe Precision Medicine Initiative
challenges biomedical researchers to reframe health optimization and disease treatment in a patientspecific,
personalized manner. Rather than a one-size-fits-all paradigm, the charge is for a particular
profile to be fit to each patient, and for disease treatment (or wellness) strategies to then be tailored
accordingly. Non-invasive physiological sensing and modulation can play an important role in this
effort by augmenting existing research in omics and medical imaging towards better developing such
personalized models for patients, and in continuously adjusting such models to optimize therapies in
real-time to meet patients’ changing needs. While in many instances the focus of such efforts is on
disease treatment, optimizing performance for healthy individuals is also a compelling need. This talk
will focus on my group’s research on non-invasive sensing of the sounds and vibrations of the body,
with application to musculoskeletal and cardiovascular monitoring applications. In the first half of the talk, I will discuss our studies that are elucidating mechanisms behind the sounds of the knees, and
particularly the characteristics of such sounds that change with acute injuries. We use miniature
microelectromechanical systems (MEMS) air-based and piezoelectric contact microphones to capture
joint sounds emitted during movement, then apply data analytics techniques to both visualize and
quantify differences between healthy and injured knees. In the second half of the talk, I will describe
our work studying the vibrations of the body in response to the heartbeat using modified weighing
scales and wearable MEMS accelerometers. Our group has extensively studied the timings of such
vibrations in relation to the electrophysiology of the heart, and how such timings change for patients
with cardiovascular diseases during treatment. Ultimately, we envision that these technologies can
enable personalized titration of care and optimization of performance to reduce injuries and
rehabilitation time for athletes and soldiers, improve the quality of life for patients with heart disease,
and reduce overall healthcare costs
