Automated spike detection using cascade of simple classifiers

The diagnosis of epilepsy heavily depends on the detection of interictal epileptiform spikes in EEG recordings of patients. However, the traditional visual inspection is time-consuming and subjective. The infinite variety of spike morphologies and the similarity of spikes to normal EEG and artifacts...

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Bibliographic Details
Main Author: Guo, Jingyao
Other Authors: Justin Dauwels
Format: Theses and Dissertations
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/68956
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Institution: Nanyang Technological University
Language: English
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