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A Metaheuristic Optimization Approach for Parameter Estimation in Arrhythmia Classification from Unb...

A Metaheuristic Optimization Approach for Parameter Estimation in Arrhythmia Classification from Unb...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b119375c47b24891a3d1df1909544c13

A Metaheuristic Optimization Approach for Parameter Estimation in Arrhythmia Classification from Unbalanced Data

About this item

Full title

A Metaheuristic Optimization Approach for Parameter Estimation in Arrhythmia Classification from Unbalanced Data

Publisher

Switzerland: MDPI

Journal title

Sensors (Basel, Switzerland), 2020-06, Vol.20 (11), p.3139

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI

More information

Scope and Contents

Contents

The electrocardiogram records the heart's electrical activity and generates a significant amount of data. The analysis of these data helps us to detect diseases and disorders via heart bio-signal abnormality classification. In unbalanced-data contexts, where the classes are not equally represented, the optimization and configuration of the classifi...

Alternative Titles

Full title

A Metaheuristic Optimization Approach for Parameter Estimation in Arrhythmia Classification from Unbalanced Data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b119375c47b24891a3d1df1909544c13

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b119375c47b24891a3d1df1909544c13

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s20113139

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