File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: ECG cancellation for surface electromyography measurement using independent component analysis

TitleECG cancellation for surface electromyography measurement using independent component analysis
Authors
Issue Date2007
Citation
2007 IEEE International Symposium on Circuits and Systems Proceedings. 2007, May. New Orleans, p. 3235-8 How to Cite?
AbstractIn clinical experiments, the surface electromyogram (sEMG) recorded from low back muscle exhibit a strong presence of electrocardiogram (ECG). This study applied independent component analysis (ICA) to effectively suppress the interference of ECG in sEMG recorded from low back muscle. In contrast to existing ICA denoise techniques, which totally remove the artifactual ICA components, high-pass filter was proposed to process the ECG-dominated ICA components to prevent possible loss of useful sEMG, and then, project all the non-artifactual ICA components (including the high-pass filtered ECG dominated ICA components) to get reconstructed sEMG (sEMG without ECG interference). © 2007 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/104154
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorHu, Yen_HK
dc.contributor.authorMak, Jen_HK
dc.contributor.authorLiu, Hen_HK
dc.contributor.authorLuk, KDKen_HK
dc.date.accessioned2010-09-25T21:41:23Z-
dc.date.available2010-09-25T21:41:23Z-
dc.date.issued2007en_HK
dc.identifier.citation2007 IEEE International Symposium on Circuits and Systems Proceedings. 2007, May. New Orleans, p. 3235-8en_HK
dc.identifier.issn0271-4310en_HK
dc.identifier.urihttp://hdl.handle.net/10722/104154-
dc.description.abstractIn clinical experiments, the surface electromyogram (sEMG) recorded from low back muscle exhibit a strong presence of electrocardiogram (ECG). This study applied independent component analysis (ICA) to effectively suppress the interference of ECG in sEMG recorded from low back muscle. In contrast to existing ICA denoise techniques, which totally remove the artifactual ICA components, high-pass filter was proposed to process the ECG-dominated ICA components to prevent possible loss of useful sEMG, and then, project all the non-artifactual ICA components (including the high-pass filtered ECG dominated ICA components) to get reconstructed sEMG (sEMG without ECG interference). © 2007 IEEE.en_HK
dc.languageengen_HK
dc.relation.ispartofProceedings - IEEE International Symposium on Circuits and Systemsen_HK
dc.titleECG cancellation for surface electromyography measurement using independent component analysisen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailHu, Y:yhud@hku.hken_HK
dc.identifier.emailLuk, KDK:hcm21000@hku.hken_HK
dc.identifier.authorityHu, Y=rp00432en_HK
dc.identifier.authorityLuk, KDK=rp00333en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-34548837767en_HK
dc.identifier.hkuros136992en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34548837767&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage3235en_HK
dc.identifier.epage3238en_HK
dc.identifier.scopusauthoridHu, Y=7407116091en_HK
dc.identifier.scopusauthoridMak, J=35980187600en_HK
dc.identifier.scopusauthoridLiu, H=26643490700en_HK
dc.identifier.scopusauthoridLuk, KDK=7201921573en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats