Non-Invasive Physiological Sensing and Modulation for Human Health and Performance

Inan, Omer T.

Title:

Non-Invasive Physiological Sensing and Modulation for Human Health and Performance

dc.contributor.author	Inan, Omer T.
dc.contributor.corporatename	Georgia Institute of Technology. Institute for Electronics and Nanotechnology	en_US
dc.contributor.corporatename	Georgia Institute of Technology. School of Electrical and Computer Engineering	en_US
dc.date.accessioned	2018-11-28T21:21:21Z
dc.date.available	2018-11-28T21:21:21Z
dc.date.issued	2018-11-13
dc.description	Presented on November 13, 2018 at 12:00 p.m.-1:00 p.m. in the Marcus Nanotechnology Building, Room 1117-1118, Georgia Tech.	en_US
dc.description	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.	en_US
dc.description	Runtime: 49:48 minutes	en_US
dc.description.abstract	The 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.	en_US
dc.format.extent	49:48 minutes
dc.identifier.uri	http://hdl.handle.net/1853/60572
dc.language.iso	en_US	en_US
dc.publisher	Georgia Institute of Technology	en_US
dc.relation.ispartofseries	Nano@Tech Lecture Series
dc.subject	Electrophysiology	en_US
dc.subject	MEMS	en_US
dc.subject	Nanotechnology	en_US
dc.subject	Non-invasive sensing	en_US
dc.title	Non-Invasive Physiological Sensing and Modulation for Human Health and Performance	en_US
dc.type	Moving Image
dc.type.genre	Lecture
dspace.entity.type	Publication
local.contributor.author	Inan, Omer T.
local.contributor.corporatename	Institute for Electronics and Nanotechnology (IEN)
local.relation.ispartofseries	Nano@Tech Lecture Series
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