Evaluation of drowsiness during driving based on heart rate analysis - A driving simulation study

Masaru Tasaki, Hui Wang, Motoaki Sakai, Mai Watanabe, Qun Jin, Daming Wei*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010
Pages411-416
Number of pages6
DOIs
Publication statusPublished - 2010 Dec 1
Event2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010 - HongKong, China
Duration: 2010 Dec 182010 Dec 21

Publication series

Name2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010

Conference

Conference2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010
Country/TerritoryChina
CityHongKong
Period10/12/1810/12/21

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

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