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dc.contributor.advisorStansifer, Ryan
dc.contributor.advisorGrossman, Barry G.
dc.contributor.authorBeavers, Tabitha
dc.contributor.authorBinns, Andrew
dc.contributor.authorWells, Michael
dc.date2015-04
dc.date.accessioned2015-05-12T19:27:08Z
dc.date.available2015-05-12T19:27:08Z
dc.identifier.citationBeavers, T., Binns, A., & Wells, M. (2015, April). Big Data Medical Diagnostics System. Poster presented at the Northrop Grumman Engineering & Science Student Design Showcase, Florida Institute of Technology, Melbourne, FL.en_US
dc.identifier.urihttp://hdl.handle.net/11141/649
dc.description.abstractMisplaced ECG leads are estimated to be the cause of as much as 4% of misleading results1 given to patients, occasionally causing fatalities^2. This project seeks to replace current leads with a pad of ECG electrodes, then use machine learning algorithms to select the optimal signal; additionally running diagnoses on acquired data.en_US
dc.language.isoen_USen_US
dc.titleBig Data Medical Diagnostics System/en_US
dc.typeposteren_US


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