title: Separation of EEG and ECG components based on wavelet shrinkage and variable cosine window.
abstract: During ambulatory monitoring, it is sometimes required to record an electroencephalogram (EEG) and an electrocardiogram (ECG) simultaneously. It would be ideal if both EEG and ECG could be obtained with one measurement. Here, we introduce an algorithm that combines the wavelet shrinkage and variable cosine window operation to separate the EEG and ECG components from an EEG signal recorded with a noncephalic reference (NCR). Evaluation using simulated data and actual measured data showed that accurate frequency analysis of EEG and an R-R detection-based heart rate analysis were feasible with our proposed algorithm, which improved the signal-averaging based algorithm so that ECG components containing ectopic beats can be applied.
authors.affiliation: Symbiotic Science and Technology, Fukushima University, Fukushima City, Japan. m.sakai510@gmail.com
authors.forename: M
authors.initials: M
authors.lastname: Sakai
authors.forename: Y
authors.initials: Y
authors.lastname: Okuyama
authors.forename: D
authors.initials: D
authors.lastname: Wei
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D004562:Electrocardiography / Q000295:instrumentation / Q000379:methods*; D004566:Electrodes; D004569:Electroencephalography / Q000295:instrumentation / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D012815:Signal Processing, Computer-Assisted; D055815:Young Adult