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Open Access

Peer-reviewed

Research Article

Classification of QRS complexes to detect Premature Ventricular Contraction using machine learning techniques

Fabiola De Marco ,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft

* E-mail: fdemarco@unisa.it

Affiliation Department of Computer Science, University of Salerno, Fisciano, Italy

https://orcid.org/0000-0003-4285-9502

⨯
Filomena Ferrucci,

Roles Supervision

Affiliation Department of Computer Science, University of Salerno, Fisciano, Italy
⨯
Michele Risi,

Roles Supervision, Writing – review & editing

Affiliation Department of Computer Science, University of Salerno, Fisciano, Italy
⨯
Genoveffa Tortora

Roles Supervision, Writing – review & editing

Affiliation Department of Computer Science, University of Salerno, Fisciano, Italy
⨯

Classification of QRS complexes to detect Premature Ventricular Contraction using machine learning techniques

Fabiola De Marco,
Filomena Ferrucci,
Michele Risi,
Genoveffa Tortora

x

Published: August 18, 2022
https://doi.org/10.1371/journal.pone.0268555

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