Combining Low-dimensional Wavelet Features and Support Vector Machine for Arrhythmia Beat Classification

Automatic feature extraction and classification are two main tasks in abnormal ECG beat recognition. Feature extraction is an important prerequisite prior to classification since it provides the classifier with input features, and the performance of classifier depends significantly on the quality of...

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Detalles Bibliográficos
Autores principales: Qin, Qin, Li, Jianqing, Zhang, Li, Yue, Yinggao, Liu, Chengyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5519637/
https://www.ncbi.nlm.nih.gov/pubmed/28729684
http://dx.doi.org/10.1038/s41598-017-06596-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5519637/
https://www.ncbi.nlm.nih.gov/pubmed/28729684
http://dx.doi.org/10.1038/s41598-017-06596-z

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