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Electrocardiogram Quality Assessment with a Generalized Deep Learning Model Assisted by Conditional...

Electrocardiogram Quality Assessment with a Generalized Deep Learning Model Assisted by Conditional...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b455b90126eb4ae29b730cc60aec6245

Electrocardiogram Quality Assessment with a Generalized Deep Learning Model Assisted by Conditional Generative Adversarial Networks

About this item

Full title

Electrocardiogram Quality Assessment with a Generalized Deep Learning Model Assisted by Conditional Generative Adversarial Networks

Publisher

Switzerland: MDPI AG

Journal title

Life (Basel, Switzerland), 2021-09, Vol.11 (10), p.1013

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

The electrocardiogram (ECG) is widely used for cardiovascular disease diagnosis and daily health monitoring. Before ECG analysis, ECG quality screening is an essential but time-consuming and experience-dependent work for technicians. An automatic ECG quality assessment method can reduce unnecessary time loss to help cardiologists perform diagnosis....

Alternative Titles

Full title

Electrocardiogram Quality Assessment with a Generalized Deep Learning Model Assisted by Conditional Generative Adversarial Networks

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b455b90126eb4ae29b730cc60aec6245

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b455b90126eb4ae29b730cc60aec6245

Other Identifiers

ISSN

2075-1729

E-ISSN

2075-1729

DOI

10.3390/life11101013

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