title: Signal separation of background EEG and spike by using morphological filter.
abstract: A signal separation method for extracting background electroencephalogram (EEG) from EEG containing spikes was proposed. Morphological filters were designed for extracting spike waveforms, and then the background EEG was obtained by subtracting the detected spike waveforms from the EEG with spike. The proposed method was evaluated by using simulated EEG data, which consisted of a summation of EEG without spike and model waveform of typical spike. The background EEG separated by the method was processed by the automatic background EEG interpretation.
authors.affiliation: Department of Computer and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan. nishida@fit.ac.jp
authors.forename: S
authors.initials: S
authors.lastname: Nishida
authors.forename: M
authors.initials: M
authors.lastname: Nakamura
authors.forename: A
authors.initials: A
authors.lastname: Ikeda
authors.forename: H
authors.initials: H
authors.lastname: Shibasaki
mesh_terms: D000328:Adult; D004569:Electroencephalography; D004827:Epilepsy / Q000175:diagnosis; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008297:Male; D008875:Middle Aged; D008959:Models, Neurological; D012016:Reference Values; D012815:Signal Processing, Computer-Assisted