Subthreshold training: a novel approach to stimulus artifact cancellation in somatosensory evoked potential recordings

Author

Boudreau, B.H. ; Englehart, K. ; Chan, A.D.C. ; Parker, P.A.

Author_Institution

Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont., Canada

Volume

3

fYear

2003

fDate

17-21 Sept. 2003

Firstpage

2659

Abstract

A new approach to stimulus artifact cancellation is introduced, which attempts to model the process of stimulus artifact generation. This is done by training an estimator with multiple exemplars of the stimulus artifact at levels below the threshold of evoked response stimulation. The performance of this new approach is compared to the segmented training approach, which has been previously demonstrated to be one of the most capable methods available. The new cancellation scheme shows distinct performance advantages over the segmented training approach.

Keywords

adaptive filters; bioelectric potentials; medical signal processing; neural nets; physiological models; somatosensory phenomena; cancellation scheme; estimator training; evoked response stimulation; multiple exemplars; segmented training approach; somatosensory evoked potential recordings; stimulus artifact cancellation; stimulus artifact generation; subthreshold training; Adaptive filters; Biomedical computing; Biomedical engineering; Electrodes; Finite impulse response filter; Information technology; Interference; Noise cancellation; Nonlinear filters; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7789-3

Type

conf

DOI

10.1109/IEMBS.2003.1280463

Filename

1280463