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Houssein et al., 2017 - Google Patents

ECG signals classification: a review

Houssein et al., 2017

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Document ID
5981818912444137684
Author
Houssein E
Kilany M
Hassanien A
Publication year
Publication venue
International Journal of Intelligent Engineering Informatics

External Links

Snippet

Electrocardiogram (ECG), non-stationary signals, is extensively used to evaluate the rate and tuning of heartbeats. The main purpose of this paper is to provide an overview of utilizing machine learning and swarm optimization algorithms in ECG classification …
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Classifications

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    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
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    • A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
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