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Removing ECG noise from surface EMG signals using adaptive filtering.

Abstract:

Surface electromyograms (EMGs) are valuable in the pathophysiological study and clinical treatment for dystonia. These recordings are critically often contaminated by cardiac artefact. Our objective of this study was to evaluate the performance of an adaptive noise cancellation filter in removing electrocardiogram (ECG) interference from surface EMGs recorded from the trapezius muscles of patients with cervical dystonia. Performance of the proposed recursive-least-square adaptive filter was f...

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Publication status:
Published

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Authors


Brittain, JS More by this author
Holland, P More by this author
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Institution:
University of Oxford
Department:
Oxford, MSD, Surgical Sciences
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Journal:
Neuroscience letters
Volume:
462
Issue:
1
Pages:
14-19
Publication date:
2009-10-05
DOI:
EISSN:
1872-7972
ISSN:
0304-3940
URN:
uuid:6ea44b4a-6ac4-4635-bb70-c7b535506562
Source identifiers:
141544
Local pid:
pubs:141544

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