DocumentCode :
2259399
Title :
Estimation of sleep onset latency based on the correlation between blood pressure and heart beat interval
Author :
Jung, Da Woon ; Chung, Gih Sung ; Hwang, Su Hwan ; Park, Kwang Suk
Author_Institution :
Interdiscipl. Program of Bioeng., Seoul Nat. Univ., Seoul, South Korea
fYear :
2012
fDate :
5-7 Jan. 2012
Firstpage :
898
Lastpage :
901
Abstract :
Sleep onset latency (SOL) provides an objective assessment of sleepiness and it also clinically useful as a sleep deprivation diagnostic tool. In this study, we suggest a new approach to estimate SOL based on the correlation between blood pressure (BP) and heart beat interval (HBI). This approach facilitates less intrusive finding of SOL as compared with currently using polysomnographic method. We hypothesized that the arterial baroreflex, one kind of reflex mechanism to regulate BP, takes a role of maintaining sleep´s toning-down effect on BP. At the time of transition from full wakefulness to sleep, the toning-down effect starts to drop the BP and the arterial baroreflex is activated to maintain lowered BP by leading to increase in HBI for the elevated BP. Consequently, there is a great contribution of arterial baroreflex to HBI control. With a quantitative evaluation of the contribution, we tried to estimate SOL. For six healthy subjects (27.5 ± 3.15 years), the mean absolute error (MAE) was 0.3 ± 0.42 minutes. We expect our method can be applicable to non-intrusive and automatic SOL estimation system by not using electroencephalogram (EEG) sensors.
Keywords :
blood pressure measurement; electrocardiography; sleep; arterial baroreflex; blod pressure regulation; blood pressure-heart beat interval correlation; heart beat interval control; mean absolute error; reflex mechanism; sleep deprivation diagnostic tool; sleep onset latency estimation; sleepiness; Electrocardiography; Lead; Medical diagnostic imaging; Position measurement; Protocols; Sleep; Weight measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-2176-2
Electronic_ISBN :
978-1-4577-2175-5
Type :
conf
DOI :
10.1109/BHI.2012.6211733
Filename :
6211733
Link To Document :
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