PCG Classification Using Multidomain Features and SVM Classifier

This paper proposes a method using multidomain features and support vector machine (SVM) for classifying normal and abnormal heart sound recordings. The database was provided by the PhysioNet/CinC Challenge 2016. A total of 515 features are extracted from nine feature domains, i.e., time interval, f...

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Detalles Bibliográficos
Autores principales: Tang, Hong, Dai, Ziyin, Jiang, Yuanlin, Li, Ting, Liu, Chengyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6077676/
https://www.ncbi.nlm.nih.gov/pubmed/30112388
http://dx.doi.org/10.1155/2018/4205027

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6077676/
https://www.ncbi.nlm.nih.gov/pubmed/30112388
http://dx.doi.org/10.1155/2018/4205027

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