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Pupillary Response as Assessment of Effective Seizure Induction by Electroconvulsive Therapy
Published on: April 11, 2019
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The Temple University Hospital Seizure Detection Corpus
Vinit Shah1, Eva von Weltin1, Silvia Lopez1
1Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA, United States.
Frontiers in Neuroinformatics
|November 30, 2018
Summary
No abstract available in PubMed .
Keywords:
EEGTemporal-Spatial sequence dataannotated dataautomatic seizure detectionelectroencephalogrammachine learningseizure detectionMore Related Videos
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