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Conference Paper: A robust method for QRS detection based on modified p-spectrum

TitleA robust method for QRS detection based on modified p-spectrum
Authors
KeywordsQRS detection
ECG
Issue Date2008
Citation
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2008, p. 501-504 How to Cite?
AbstractIn this paper, we propose a robust method based on the modified p-spectrum to detect heart beats in ECG signals, which is also referred as QRS detection in the literature. QRS detection is an old problem that has been studied for several decades. In the literature, there are many methods based on various forms of transformations and thresholding, which require predetermined or fine-tuned thresholds. Another class of existing methods are based on machine learning, which require carefully labeled training data. In our study, we propose the modified p-spectrum for QRS detection, which does not require either predetermined thresholds or training data, and can operate in real-time. The proposed method is evaluated using the MIT-BIH arrhythmia database. ©2008 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/265547
ISSN

 

DC FieldValueLanguage
dc.contributor.authorQiu, Peng-
dc.contributor.authorLiu, K. J.Ray-
dc.date.accessioned2018-12-03T01:20:59Z-
dc.date.available2018-12-03T01:20:59Z-
dc.date.issued2008-
dc.identifier.citationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2008, p. 501-504-
dc.identifier.issn1520-6149-
dc.identifier.urihttp://hdl.handle.net/10722/265547-
dc.description.abstractIn this paper, we propose a robust method based on the modified p-spectrum to detect heart beats in ECG signals, which is also referred as QRS detection in the literature. QRS detection is an old problem that has been studied for several decades. In the literature, there are many methods based on various forms of transformations and thresholding, which require predetermined or fine-tuned thresholds. Another class of existing methods are based on machine learning, which require carefully labeled training data. In our study, we propose the modified p-spectrum for QRS detection, which does not require either predetermined thresholds or training data, and can operate in real-time. The proposed method is evaluated using the MIT-BIH arrhythmia database. ©2008 IEEE.-
dc.languageeng-
dc.relation.ispartofICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings-
dc.subjectQRS detection-
dc.subjectECG-
dc.titleA robust method for QRS detection based on modified p-spectrum-
dc.typeConference_Paper-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICASSP.2008.4517656-
dc.identifier.scopuseid_2-s2.0-51449122016-
dc.identifier.spage501-
dc.identifier.epage504-

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