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Statistical Model-Based Classification to Detect Patient-Specific Spike-and-Wave in EEG Signals

2020-10-29

Abstract excerpt

Spike-and-wave discharge (SWD) pattern detection in electroencephalography (EEG) signals is a key signal processing problem. It is particularly important for overcoming time-consuming, difficult, and error-prone manual analysis of long-term EEG recordings. This paper presents a new SWD method with a low computational complexity that can be easily trained with data from standard medical protocols. Precisely, EEG si...

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Literature Corpus work
5ca399fa-367c-5c3b-95bb-ae6b6beee17d
DOI
10.20944/preprints202010.0616.v1
Open publication

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Statistical Model-Based Classification to Detect Patient-Specific Spike-and-Wave in EEG SignalsDOI 10.20944/preprints202010.0616.v1
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