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Extreme learning machine approach on heart abnormalities identification in ECG images

Extreme learning machine approach on heart abnormalities identification in ECG images

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_90322b9e16484a5690acf64ef8e754b7

Extreme learning machine approach on heart abnormalities identification in ECG images

About this item

Full title

Extreme learning machine approach on heart abnormalities identification in ECG images

Publisher

Polish Academy of Sciences

Journal title

International Journal of Electronics and Telecommunications, 2024-06, Vol.70 (No 2), p.473-480

Language

English

Formats

Publication information

Publisher

Polish Academy of Sciences

More information

Scope and Contents

Contents

Heart abnormalities are atypical heart conditions that can lead to chronic heart disease. Heart abnormalities can be severe if not treated directly due to the crucial function of the heart as the blood circulation center. Heart abnormalities cannot be seen with the naked eye so it requires the recording of a heartbeat wave or electrocardiogram (EKG...

Alternative Titles

Full title

Extreme learning machine approach on heart abnormalities identification in ECG images

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_90322b9e16484a5690acf64ef8e754b7

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_90322b9e16484a5690acf64ef8e754b7

Other Identifiers

ISSN

2081-8491

E-ISSN

2300-1933

DOI

10.24425/ijet.2024.149568

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