Zhao et al., 2021 - Google Patents
Denoising of ECG signals based on CEEMDANZhao et al., 2021
- Document ID
- 10088907320114343947
- Author
- Zhao Y
- Xu J
- Publication year
- Publication venue
- 2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)
External Links
Snippet
Heart disease is one of the major diseases of human health, and ECG can reflect the health condition of the heart to a certain extent. In order to reduce the noise in ECG signals, this paper proposes a CEEMDAN based, ie, adaptive noise complete empirical mode …
- 238000000354 decomposition reaction 0 abstract description 19
Classifications
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- A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
- A61B5/0402—Electrocardiography, i.e. ECG
- A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
- A61B5/0456—Detecting R peaks, e.g. for synchronising diagnostic apparatus
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- A—HUMAN NECESSITIES
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- A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
- A61B5/046—Detecting fibrillation
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- A61B5/04012—Analysis of electro-cardiograms, electro-encephalograms, electro-myograms
- A61B5/04017—Analysis of electro-cardiograms, electro-encephalograms, electro-myograms by using digital filtering
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