Transform domain adaptive enhancement filter for evoked potential

Author

Lin, Bor-Shyh ; Lin, Bor-Shing ; Chien, Jen-Chien ; Chong, Fok-Ching ; Yue-Der Line

Author_Institution

Inst. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan

Volume

1

fYear

2002

fDate

2002

Firstpage

277

Abstract

This paper is to present the use of transform domain adaptive filter (TDADF) to process evoked potential (EP). The use of adaptive filter (ADF) in processing EP is effective than traditional averaging method. However to design an ADF with normalized LMS with good convergence performance is not an easy task. Thus, we proposed the TDADF method to improve the convergence performance of processing EP. Simulations were conducted to obtain the SNR of visual evoked potential. Moreover, collected data from somatosensory evoked potential was used in the testing. We observed that TDADF method has better performance than ADF with normalized LMS algorithm.

Keywords

adaptive filters; adaptive signal processing; bioelectric potentials; electroencephalography; medical signal processing; somatosensory phenomena; time-domain analysis; visual evoked potentials; adaptive signal enhancement filter; brain neural domain; electrodiagnostics; evoked potential processing; filter taps; normalized LMS algorithm; somatosensory evoked potential; step size; traditional averaging method; transform domain adaptive enhancement filter; weak signal; Adaptive filters; Biomedical engineering; Brain modeling; Convergence; Educational institutions; Electroencephalography; Least squares approximation; Mean square error methods; Signal processing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint

ISSN

1094-687X

Print_ISBN

0-7803-7612-9

Type

conf

DOI

10.1109/IEMBS.2002.1134491

Filename

1134491