Concise and scale-specific extraction of biomedically relevant information from visual evoked potential signals: combining factor analysis with wavelet decomposition
Vincent J. Samar, Gauri Rajendra Kulkarni, Kenneth P. Swartz, Ila Parasnis, Raghuveer Rao, V. Udpikar · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
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.