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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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Bibliografske podrobnosti
izdano v:Sensors (Basel)
Main Authors: Martinez-Alanis, Marisol, Bojorges-Valdez, Erik, Wessel, Niels, Lerma, Claudia
Format: Artigo
Jezik:Inglês
Izdano: MDPI 2020
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC7582608/
https://ncbi.nlm.nih.gov/pubmed/32992675
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20195483
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