| Adaptive Fourier Decomposition Based R-peak Detection for Noisy ECG Signals | |
| Wang, Ze; Wong, Chi Man; Wan, Feng; IEEE | |
| 2017 | |
| Conference Name | 2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
| Pages | 3501-3504 |
| Publication Place | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| Publisher | IEEE |
| 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. |
| URL | View the original |
| Indexed By | CPCI |
| Language | 英语 |
| WOS Research Area | Biophysics ; Engineering |
| WOS Subject | Biophysics ; Engineering, Biomedical |
| WOS ID | WOS:000427085303230 |
| The Source to Article | WOS |
| Fulltext Access | |
| Citation statistics | |
| Document Type | Conference paper |
| Collection | University of Macau |
| Recommended Citation GB/T 7714 | Wang, Ze,Wong, Chi Man,Wan, Feng,et al. Adaptive Fourier Decomposition Based R-peak Detection for Noisy ECG Signals[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2017:3501-3504. |
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