Genetic algorithm for the optimization of features and neural networks in ECG signals classification

Feature extraction and classification of electrocardiogram (ECG) signals are necessary for the automatic diagnosis of cardiac diseases. In this study, a novel method based on genetic algorithm-back propagation neural network (GA-BPNN) for classifying ECG signals with feature extraction using wavelet...

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Detalles Bibliográficos
Autores principales: Li, Hongqiang, Yuan, Danyang, Ma, Xiangdong, Cui, Dianyin, Cao, Lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5282533/
https://www.ncbi.nlm.nih.gov/pubmed/28139677
http://dx.doi.org/10.1038/srep41011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5282533/
https://www.ncbi.nlm.nih.gov/pubmed/28139677
http://dx.doi.org/10.1038/srep41011

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