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Proceedings Paper

Concise and scale-specific extraction of biomedically relevant information from visual evoked potential signals: combining factor analysis with wavelet decomposition
Author(s): Vincent J. Samar; Gauri Kulkarni; Kenneth P. Swartz; Ila Parasnis; Raghuveer M. Rao; Vishwas Udpikar
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Paper Abstract

The nervous system possesses an intrinsic multiscale organization of processing systems. Evoked potentials (EPs) and other neurometric signals contain corresponding multiscale information about the normal and disordered functioning of the nervous system. The discrete wavelet transform (DWT) explicitly distinguishes among multiple scales of waveform structure, and can be used to decompose EPs in a manner that respects this intrinsic organization. In this paper we provide evidence for the multiscale structure of EPs. We demonstrate that EPs contain scale-specific information of biomedical, neurophysiological, and neuropsychological relevance. Finally, we show that the DWT provides information about small-scale phenomena that is inaccessible by standard neurometric waveform analysis techniques.

Paper Details

Date Published: 11 October 1994
PDF: 12 pages
Proc. SPIE 2303, Wavelet Applications in Signal and Image Processing II, (11 October 1994); doi: 10.1117/12.188794
Show Author Affiliations
Vincent J. Samar, Rochester Institute of Technology, Univ. of Rochester Medical Ctr.(USA) and Univ. of Poona (India)
Gauri Kulkarni, Univ. of Poona (India)
Kenneth P. Swartz, Univ. of Rochester Medical Ctr. (United States)
Ila Parasnis, Rochester Institute of Technology (USA) and Univ. of Poona (India)
Raghuveer M. Rao, Rochester Institute of Technology (United States)
Vishwas Udpikar, Chiphouse (India)

Published in SPIE Proceedings Vol. 2303:
Wavelet Applications in Signal and Image Processing II
Andrew F. Laine; Michael A. Unser, Editor(s)

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