Coupling analysis of heart rate variability and cortical arousal using a deep learning algorithm

Frequent cortical arousal is associated with cardiovascular dysfunction among people with sleep-disordered breathing. Changes in heart rate variability (HRV) can represent pathological conditions associated with autonomic nervous system dysfunction. Previous studies showed changes in cardiac activit...

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Veröffentlicht in:	PloS one Jg. 18; H. 4; S. e0284167
Hauptverfasser:	Huo, Jiayan, Quan, Stuart F., Roveda, Janet, Li, Ao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 06.04.2023 Public Library of Science (PLoS)
Schlagworte:	Algorithms Analysis Arousal Arousal - physiology Arteriosclerosis Atherosclerosis Autonomic nervous system Autonomic Nervous System - physiology Biology and Life Sciences Computer and Information Sciences Cortical maps Data mining Datasets Deep Learning Development and progression Diagnosis EKG Electrocardiogram Electrocardiography Electroencephalography Etiology Evaluation Eye movements Female Heart Heart beat Heart rate Heart Rate - physiology Humans Machine learning Medicine and Health Sciences Nervous system Neural networks Physical Sciences Population studies Probability Research and Analysis Methods Risk factors Segments Sleep Sleep - physiology Sleep apnea Sleep disorders Sympathetic nervous system Time domain analysis Variability United States
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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