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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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Erik Reinertsen
BME PhD Proposal Presentation
Location: Woodruff Memorial Building, Room 4004 (Department of Biomedical Informatics - classroom)
Date: Tue Apr 25th
Time: 3-4 pm EST
Committee members:
Title: "Signal processing and machine learning for estimating illness severity from physiological and behavioral data"
Abstract: Heart rate and locomotor activity convey information about autonomic nervous system physiology and behavior. Signal processing methods can be applied to these data sources to derive features that differ in patients with mental and/or cardiovascular illness, compared to healthy controls. Machine learning algorithms trained on these features can classify illness, but accurate classification requires addressing factors such as noise, non-stationarity, and time scale in the data. Three studies are proposed to evaluate methods that account for these factors and improve classifier performance in the context of PTSD, schizophrenia, and heart failure.
