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
Link To Document :
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