ECG Heartbeat Classification Using CONVXGB Model
ECG Heartbeat Classification Using CONVXGB Model
About this item
Full title
ECG Heartbeat Classification Using CONVXGB Model
Author / Creator
Publisher
Basel: MDPI AG
Journal title
Electronics (Basel), 2022-08, Vol.11 (15), p.2280
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
ELECTROCARDIOGRAM (ECG) signals are reliable in identifying and monitoring patients with various cardiac diseases and severe cardiovascular syndromes, including arrhythmia and myocardial infarction (MI). Thus, cardiologists use ECG signals in diagnosing cardiac diseases. Machine learning (ML) has also proven its usefulness in the medical field and...
Alternative Titles
Full title
ECG Heartbeat Classification Using CONVXGB Model
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2700536557
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2700536557
Other Identifiers
ISSN
2079-9292
E-ISSN
2079-9292
DOI
10.3390/electronics11152280
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