Journal article
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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Bibliographic Details
- Journal:
- Neuroscience letters
- Volume:
- 462
- Issue:
- 1
- Pages:
- 14-19
- Publication date:
- 2009-10-01
- DOI:
- EISSN:
-
1872-7972
- ISSN:
-
0304-3940
- Source identifiers:
-
141544
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:141544
- UUID:
-
uuid:6ea44b4a-6ac4-4635-bb70-c7b535506562
- Local pid:
- pubs:141544
- Deposit date:
- 2012-12-19
Terms of use
- Copyright date:
- 2009
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