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Kumari et al., 2023 - Google Patents

Classification of Abnormal and Normal ECG beat Based on Deep Learning Techniques

Kumari et al., 2023

Document ID
4596291914075740266
Author
Kumari N
Goswami M
Publication year
Publication venue
2023 6th International Conference on Contemporary Computing and Informatics (IC3I)

External Links

Snippet

Electrocardiogram signals are classified as abnormal or normal ECG signal. Both the MIT- BIH Arrhythmia (BIHA) Database and the MIT-BIH Noise Stress Test Database (NSTDB) are used for the model's training and testing phases. Experimental For classification of …
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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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    • A61B5/0468—Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats
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