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Vijayavanan et al., 2014 - Google Patents

Automatic classification of ECG signal for heart disease diagnosis using morphological features

Vijayavanan et al., 2014

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Document ID
3092188640015913233
Author
Vijayavanan M
Rathikarani V
Dhanalakshmi P
Publication year
Publication venue
International Journal of Computer Science & Engineering Technology

External Links

Snippet

An Electrocardiogram (ECG) is a test that records the electrical activity of the heart to locate the abnormalities. Automatic ECG classification is an emerging tool for the cardiologists in medical diagnosis for effective treatments. In this paper, we propose efficient techniques to …
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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
    • A61B5/04525—Detecting specific parameters of the electrocardiograph cycle by template matching
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    • A61B5/0468—Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats
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