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Zhao et al., 2021 - Google Patents

Denoising of ECG signals based on CEEMDAN

Zhao 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 …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • 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
    • A—HUMAN NECESSITIES
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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
    • A61B5/046—Detecting fibrillation
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    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • 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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    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
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