Entropy-Based Measures of Hypnopompic Heart Rate Variability Contribute to the Automatic Prediction of Cardiovascular Events

Entropy-Based Measures of Hypnopompic Heart Rate Variability Contribute to the Automatic Prediction of Cardiovascular Events

Surges in sympathetic activity should be a major contributor to the frequent occurrence of cardiovascular events towards the end of nocturnal sleep. We aimed to investigate whether the analysis of hypnopompic heart rate variability (HRV) could assist in the prediction of cardiovascular disease (CVD)...

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Bibliographic Details
Main Authors: Xueya Yan, Lulu Zhang, Jinlian Li, Ding Du, Fengzhen Hou
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Entropy
Subjects:
heart rate variability
cardiovascular disease
sleep
machine learning
xgboost
Online Access:https://www.mdpi.com/1099-4300/22/2/241

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