DocumentCode
2378890
Title
Evaluation of drowsiness during driving based on heart rate analysis - A driving simulation study
Author
Tasaki, Masaru ; Wang, Hui ; Sakai, Motoki ; Watanabe, Manabu ; Jin, Qun ; Wei, Daming
Author_Institution
Sch. of Comput. Sci. & Eng., Univ. of Aizu, Aizu-Wakamatsu, Japan
fYear
2010
fDate
18-18 Dec. 2010
Firstpage
411
Lastpage
416
Abstract
It is a common sense that drowsiness during driving could cause traffic accidents. Related researches show that drowsiness occurs when the parasympathetic nerve system predominates over others, and the high frequency (HF) component of heart rate variability (HRV) on an electrocardiogram (ECG) is closely related with the parasympathetic nerve activity, so it is reasonable to evaluate drowsiness based on heart rate analysis. In the driving simulation study, ECG and calculated R-R intervals were put on record during the monitoring process of drowsiness degrees. Relations among different indexes, such as, temporal change of HF band, RR50, Coefficient of Variation of R-R interval (CVRR), and LF to HF ratio (LF/HF) were evaluated as well. The experimental results suggest that there exist certain correlations between drowsiness and HF, RR50, CVRR, or LF/HF, which will be compared in the future with data collected in real driving experiments.
Keywords
electrocardiography; medical signal processing; neurophysiology; CVRR; ECG; HF band temporal change; HRV high frequency component; LF-HF ratio; R-R interval coefficient of variation; R-R intervals; RR50; driving; drowsiness evaluation; electrocardiogram; heart rate analysis; heart rate variability; parasympathetic nervous system;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine Workshops (BIBMW), 2010 IEEE International Conference on
Conference_Location
Hong, Kong
Print_ISBN
978-1-4244-8303-7
Electronic_ISBN
978-1-4244-8304-4
Type
conf
DOI
10.1109/BIBMW.2010.5703837
Filename
5703837
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