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Multi-Channel Template Extraction for Automatic EEG Spike Detection
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Author(s): Zhanfeng Ji (Saga University, Japan & East China University of Science and Technology, China), Takenao Sugi (Saga University, Japan), Satoru Goto (Saga University, Japan), Xingyu Wang (East China University of Science and Technology, China)and Masatoshi Nakamura (Research Institute of Systems Control, Japan)
Copyright: 2013
Pages: 11
Source title:
Biomedical Engineering and Cognitive Neuroscience for Healthcare: Interdisciplinary Applications
Source Author(s)/Editor(s): Jinglong Wu (Okayama University, Japan)
DOI: 10.4018/978-1-4666-2113-8.ch026
PurchaseView on the publisher's website for pricing and purchasing information.
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Abstract
Automatic electroencephalogram (EEG) spike detection plays an important role in epilepsy diagnoses, but there is no currently accepted method to detect spikes accurately. The template method is considered to be an effective method but is rarely studied. Template making is difficult because the morphology of spike waveforms can vary dramatically. Different patients have different EEG patterns, and for a single patient, different patterns may be observed at different sites on the scalp. The current study proposed a template extraction method. Without prior information, extracted templates could be adapted not only to individual patients but also to individual focus channels. The method was evaluated using the recordings from two epileptic patients. The results suggest that the proposed template extraction method is effective and that templates for spike detection should include multiple channels. In addition, this template method could be easily adapted for real-time applications.
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