Literature DB >> 10198522

Evoked potential estimation using modified time-sequenced adaptive filter.

F H Chan1, W Qiu, F K Lam, P W 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.

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Year:  1998        PMID: 10198522     DOI: 10.1007/bf02523207

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  15 in total

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8.  Optimum filters for estimating evoked potential waveforms.

Authors:  K B Yu; C D McGillem
Journal:  IEEE Trans Biomed Eng       Date:  1983-11       Impact factor: 4.538

9.  Time-varying adaptive filters for evoked potential estimation.

Authors:  X H Yu; Z Y He; Y S Zhang
Journal:  IEEE Trans Biomed Eng       Date:  1994-11       Impact factor: 4.538

10.  An enhanced approach to adaptive processing of the brain stem auditory evoked potential.

Authors:  W Qiu; F H Chan; F K Lam; P W Poon
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  2 in total

1.  Artefact cancellation in motor-sensory evoked potentials: two approaches using adaptive filtration and exponential approximation.

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Journal:  Med Biol Eng Comput       Date:  1999-01       Impact factor: 2.602

2.  Detection and multichannel SVD-based filtering of trigeminal somatosensory evoked potentials.

Authors:  A Swinnen; S Van Huffel; K Van Loven; R Jacobs
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  2 in total

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