An Automatic Premature Ventricular Contraction Recognition System Based on Imbalanced Dataset and Pr...
An Automatic Premature Ventricular Contraction Recognition System Based on Imbalanced Dataset and Pre-Trained Residual Network Using Transfer Learning on ECG Signal
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Switzerland: MDPI AG
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Language
English
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Switzerland: MDPI AG
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The development of automatic monitoring and diagnosis systems for cardiac patients over the internet has been facilitated by recent advancements in wearable sensor devices from electrocardiographs (ECGs), which need the use of patient-specific approaches. Premature ventricular contraction (PVC) is a common chronic cardiovascular disease that can ca...
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Full title
An Automatic Premature Ventricular Contraction Recognition System Based on Imbalanced Dataset and Pre-Trained Residual Network Using Transfer Learning on ECG Signal
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TN_cdi_doaj_primary_oai_doaj_org_article_4079266105954007ace55cc5ce35d4bd
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4079266105954007ace55cc5ce35d4bd
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ISSN
2075-4418
E-ISSN
2075-4418
DOI
10.3390/diagnostics13010087
