TY - GEN
T1 - Correlation between Heart Rate Variability and Sleep Stage in OSA patient
AU - Liou, Jian Chiun
AU - Chen, Chieh Yu
AU - Liu, Wen Te
AU - Lin, Shang Yang
N1 - Funding Information:
The work was supported of the higher Education Sprout Project by the Ministry of Education (MOE) (DP2-110-21121-01-O-01-03).
Funding Information:
ACKNOWLEDGMENT We thank the Sleep Center of Shuang Ho Hospital for sharing the database for this study, and providing the conversion program of "HRV analysis" for this study. This research was funded by the Ministry of Education (MOE) in Taiwan (DP2-108-21121-01-O-05-04). DP2-109-21121-01-O-01-03, DP2-110-21121-01-O-01-03, MOST-109-2918-I-038-002, TMU-NTUST-109-10, MOST-109-2221-E-038 -013, MOST-110-2221-E-038 -009.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Sleep apnea is a common sleep disorder. Before diagnosis, it is necessary to go to a sleep center and wear complicated devices for detection, and export Polysomnography according to various signals. Electroencephalogram is one of the methods used to monitor brain activity and diagnose sleep disorders. However, manual notation of sleep stages by a technician is a time-consuming task, and the reliability of interrater reliability is limited. In this study, the analysis of heart rate variability was used to observe the correlation between sleep stage and HRV through ECG signals. It aims to accurately predict sleep stages through electrocardiogram, and provide sleep detection for patients with sleep apnea at home.
AB - Sleep apnea is a common sleep disorder. Before diagnosis, it is necessary to go to a sleep center and wear complicated devices for detection, and export Polysomnography according to various signals. Electroencephalogram is one of the methods used to monitor brain activity and diagnose sleep disorders. However, manual notation of sleep stages by a technician is a time-consuming task, and the reliability of interrater reliability is limited. In this study, the analysis of heart rate variability was used to observe the correlation between sleep stage and HRV through ECG signals. It aims to accurately predict sleep stages through electrocardiogram, and provide sleep detection for patients with sleep apnea at home.
KW - Heart Rate Variability
KW - Obstructive Sleep Apnea(OSA)
KW - Rapid Eye Movement sleep
KW - Sleep stage
UR - http://www.scopus.com/inward/record.url?scp=85138686362&partnerID=8YFLogxK
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U2 - 10.1109/ICCE-Taiwan55306.2022.9869190
DO - 10.1109/ICCE-Taiwan55306.2022.9869190
M3 - Conference contribution
AN - SCOPUS:85138686362
T3 - Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
SP - 599
EP - 600
BT - Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
Y2 - 6 July 2022 through 8 July 2022
ER -
