Adaptive spatio-temporal filtration of bioelectrical signals.

Adaptive spatio-temporal filtration of bioelectrical signals. Research Abstract Details 

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Adaptive spatio-temporal filtration of bioelectrical signals. Abstract Text:

N Ostlund,U Wiklund,J Yu,J Karlsson,

In this paper we show how independent component analysis (ICA) algorithms can be used to perform spatio-temporal filtration of electromyographic (EMG) and electrocardiographic (ECG) signals. The technique was used to decompose the EMG signals into motor unit action potential (MUAP) trains. From the 88 outputs of the adaptive spatio-temporal filtration, three groups of different MUAP train patterns were found. The technique was also used to obtain a fetus' ECG and showed better result compared to using ICA.

Adaptive spatio-temporal filtration of bioelectrical signals. Publishing Authors By Initials

N Ostlund,U Wiklund,J Yu,J Karlsson,

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Adaptive spatio-temporal filtration of bioelectrical signals. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Conference proceedings : ... Annual International

VOLUME: 6

Page Numbers: 5983-6

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ISSN: 1557-170X

DAY: 6

MONTH: 02

YEAR: 2005

Adaptive spatio-temporal filtration of bioelectrical signals. Information

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LANGUAGE: eng

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Grant and Affiliation Information for Adaptive spatio-temporal filtration of bioelectrical signals.

AFFILIATION: Department of Biomedical Engineering & Informatics, University Hospital, Umeå, Sweden.

Country: United States

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MEDLINETA: Conf Proc IEEE Eng Med Biol So

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