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Classification of QRS complexes to detect Premature Ventricular Contraction using machine learning techniques
Author(s) -
Fabiola De Marco,
Filomena Ferrucci,
Michele Risi,
Genoveffa Tortora
Publication year - 2022
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0268555
Subject(s) - computer science , artificial intelligence , random forest , workload , qrs complex , feature extraction , deep learning , decision tree , f1 score , cross validation , machine learning , feature (linguistics) , pattern recognition (psychology) , medicine , cardiology , linguistics , philosophy , operating system

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