Evoked potential estimation using modified time-sequenced adaptive filter View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1998-07

AUTHORS

F. H. Y. Chan, W. Qiu, F. K. Lam, P. W. F. Poon, M. K. Lam

ABSTRACT

A method called modified time-sequenced adaptive filtering (MTSAF) is applied to estimate evoked potential (EP) signals and track the temporal variations of EPs. The MTSAF consists of a set of adaptive filters (AFs), with each processing a time segment of EP data. After convergence, each AF reaches the best estimation of EP signals over its own time segment in terms of minimum mean squared error (MMSE). Numerical results of simulated and human EP data show that the MTSAF reaches better estimation of EPs than a conventional adaptive signal enhancer (ASE). With the MTSAF, the temporal variations of EPS across trials can be estimated to reveal more subtle variations of EPs, which may be of clinical value. More... »

PAGES

407-414

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf02523207

DOI

http://dx.doi.org/10.1007/bf02523207

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1017363289

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/10198522


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