Title :
A fast algorithm for automated independent process separation from single channel biomedical signal recordings: FastIPA
Author :
James, Christopher J. ; Davies, Mike E.
Author_Institution :
Signal Process. & Control Group, Southampton Univ., Southampton
Abstract :
Independent component analysis (ICA) has found many uses in source separation in biomedical signals. We highlight a methodology and put forward an algorithm which allows single channel ICA to be performed on single channel biomedical signal recordings. The algorithm uses a fast, deflationary approach to efficiently extract independent processes underlying the single channel recordings. We show that for processes which are reasonably spectrally disjoint the algorithm can separate out individual sources. We show examples of this using brain signal recordings and abdominal foetal recordings.
Keywords :
biomedical measurement; blind source separation; cardiology; electroencephalography; feature extraction; independent component analysis; medical signal processing; abdominal foetal recordings; automated independent process separation; automated source extraction; blind source separation; brain signal recordings; electroencephalogram recording; fast independent process analysis; foetal phonocardiogram analysis; independent component analysis; single channel biomedical signal recordings; Blind source separation; Independent component analysis (ICA); Single channel ICA; automated source extraction; independent process analysis;
Conference_Titel :
Advances in Medical, Signal and Information Processing, 2008. MEDSIP 2008. 4th IET International Conference on
Conference_Location :
Santa Margherita Ligure
Print_ISBN :
978-0-86341-934-8