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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| Format: | Theses and Dissertations |
| Language: | English |
| Published: |
2016
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| Online Access: | http://hdl.handle.net/10356/68956 |
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| Institution: | Nanyang Technological University |
| Language: | English |