Automatic QRS complex detection using two-level convolutional neural network

BACKGROUND: The QRS complex is the most noticeable feature in the electrocardiogram (ECG) signal, therefore, its detection is critical for ECG signal analysis. The existing detection methods largely depend on hand-crafted manual features and parameters, which may introduce significant computational...

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Detalles Bibliográficos
Autores principales: Xiang, Yande, Lin, Zhitao, Meng, Jianyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5789562/
https://www.ncbi.nlm.nih.gov/pubmed/29378580
http://dx.doi.org/10.1186/s12938-018-0441-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5789562/
https://www.ncbi.nlm.nih.gov/pubmed/29378580
http://dx.doi.org/10.1186/s12938-018-0441-4

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