Prediction of Sudden Cardiac Death Risk with a Support Vector Machine Based on Heart Rate Variability and Heartprint Indices

Most methods for sudden cardiac death (SCD) prediction require long-term (24 h) electrocardiogram recordings to measure heart rate variability (HRV) indices or premature ventricular complex indices (with the heartprint method). This work aimed to identify the best combinations of HRV and heartprint...

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Detalles Bibliográficos
Autores principales: Martinez-Alanis, Marisol, Bojorges-Valdez, Erik, Wessel, Niels, Lerma, Claudia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582608/
https://www.ncbi.nlm.nih.gov/pubmed/32992675
http://dx.doi.org/10.3390/s20195483

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582608/
https://www.ncbi.nlm.nih.gov/pubmed/32992675
http://dx.doi.org/10.3390/s20195483

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