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Article

An automated, machine learning-based detection algorithm for spike-wave discharges (SWDs) in a mouse model of absence epilepsy

2018-04-27

Abstract excerpt

<h4>Summary and Keywords</h4> <h4>Objective</h4> Manual detection of spike-wave discharges (SWDs) from EEG records is time intensive, costly, and subject to inconsistencies/biases. Additionally, manual scoring often omits information on SWD confidence/intensity which may be important for the investigation of mechanistic-based research questions. Our objective is to develop an automated method for the detection o...

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Literature Corpus work
d70f845a-5e1b-5d4c-8057-07fd10e03f0f
DOI
10.1101/309146
Open publication

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An automated, machine learning-based detection algorithm for spike-wave discharges (SWDs) in a mouse model of absence epilepsyDOI 10.1101/309146
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