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ECG Artifact Remova...
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Abbaspour, Sara,1984-Mälardalens högskola,Inbyggda system,Biomedical Engineering
(författare)
ECG Artifact Removal from Surface EMG Signal Using an Automated Method Based on Wavelet-ICA
- Artikel/kapitelEngelska2015
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Nummerbeteckningar
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LIBRIS-ID:oai:DiVA.org:mdh-27873
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https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-27873URI
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https://doi.org/10.3233/978-1-61499-516-6-91DOI
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Språk:engelska
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Sammanfattning på:engelska
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Ämneskategori:ref swepub-contenttype
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Ämneskategori:kon swepub-publicationtype
Anmärkningar
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This study aims at proposing an efficient method for automated electrocardiography (ECG) artifact removal from surface electromyography (EMG) signals recorded from upper trunk muscles. Wavelet transform is applied to the simulated data set of corrupted surface EMG signals to create multidimensional signal. Afterward, independent component analysis (ICA) is used to separate ECG artifact components from the original EMG signal. Components that correspond to the ECG artifact are then identified by an automated detection algorithm and are subsequently removed using a conventional high pass filter. Finally, the results of the proposed method are compared with wavelet transform, ICA, adaptive filter and empirical mode decomposition-ICA methods. The automated artifact removal method proposed in this study successfully removes the ECG artifacts from EMG signals with a signal to noise ratio value of 9.38 while keeping the distortion of original EMG to a minimum.
Ämnesord och genrebeteckningar
Biuppslag (personer, institutioner, konferenser, titlar ...)
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Lindén, MariaMälardalens högskola,Inbyggda system(Swepub:mdh)mln04
(författare)
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GholamHosseini, HamidAuckland University of Technology, New Zealand(Swepub:mdh)hgi01
(författare)
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Mälardalens högskolaInbyggda system
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:Studies in Health Technology and Informatics, Volume 211, s. 91-979781614995159
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