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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Title: Enabling Robust and Adaptive Cardiomechanical Signal Analysis via Population-Based Dynamic Modeling
Committee:
Dr. Inan, Advisor
Dr. Rozell, Chair
Dr. Davenport
Abstract: The objective of the proposed research is to develop seismocardiogram (SCG) analysis methods which improve the feasibility of using this technology in uncontrolled settings. The SCG is a noninvasively-obtained bio-signal that measures the mechanical response of the chest wall to underlying cardiovascular events. Though this waveform is useful for inferring important indicators of cardiac function, there are several factors which have limited the widespread use of SCG in at-home and other ambulatory environments. The ultimate contribution of this research is to bridge the gap between SCG theory and applications by developing robust processing methods while also gleaning insight into the waveform itself. Doing so may soon enable wearable cardiac monitoring systems to obtain a more holistic view of cardiovascular health and function.
