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Adaptive Fourier decomposition based R-peak detection for noisy ECG Signals
Wang Z.; Wong C.M.; Wan F.
2017-09-13
Conference Name39th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)
Source PublicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Pages3501-3504
Conference DateJUL 11-15, 2017
Conference PlaceSOUTH KOREA
Abstract

An adaptive Fourier decomposition (AFD) based R-peak detection method is proposed for noisy ECG signals. Although lots of QRS detection methods have been proposed in literature, most detection methods require high signal quality. The proposed method extracts the R waves from the energy domain using the AFD and determines the R-peak locations based on the key decomposition parameters, achieving the denoising and the R-peak detection at the same time. Validated by clinical ECG signals in the MIT-BIH Arrhythmia Database, the proposed method shows better performance than the Pan-Tompkin (PT) algorithm in both situations of a native PT and the PT with a denoising process.

DOI10.1109/EMBC.2017.8037611
URLView the original
Indexed BySCI
WOS Research AreaBiophysics ; Engineering
WOS SubjectBiophysics ; Engineering, Biomedical
WOS IDWOS:000427085303230
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Citation statistics
Cited Times [WOS]:3   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Wang Z.,Wong C.M.,Wan F.. Adaptive Fourier decomposition based R-peak detection for noisy ECG Signals[C],2017:3501-3504.
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