Decomposition of evoked potentials using peak detection and the discrete wavelet transform

McCooey, C, Kumar, D and Cosic, I 2005, 'Decomposition of evoked potentials using peak detection and the discrete wavelet transform', in Y. T. Zhang and C. Roux (ed.) Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Shanghai, 17-18 January 2006.


Document type: Conference Paper
Collection: Conference Papers

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Title Decomposition of evoked potentials using peak detection and the discrete wavelet transform
Author(s) McCooey, C
Kumar, D
Cosic, I
Year 2005
Conference name International Conference of the Engineering in Medicine and Biology Society
Conference location Shanghai
Conference dates 17-18 January 2006
Proceedings title Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Editor(s) Y. T. Zhang
C. Roux
Publisher IEEE
Place of publication Shanghai
Abstract A new method of viewing evoked potential data is described. This method, called the peak detection method, is based on singularity detection using the discrete wavelet transform. The peaks and troughs of raw visual evoked potential data are identified and characterized using the algorithms of this method, resulting in a linear decomposition of the recording into sets of individual peaks. The individual peaks are then added together, averaged and compared to the ensemble average signal. The peak detection method correlates strongly to the ensemble average showing that this method retains the same evoked potential signal profile
Subjects Biomedical Engineering not elsewhere classified
Keyword(s) averaging
discrete wavelet transform
EEG
singularity detection
visual evoked potentials
DOI - identifier 10.1109/IEMBS.2005.1616866
Copyright notice ©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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