Evaluation of Mental Work Load in Vehicle Driving by Analysis of Heart Rate Variability

Author(s):  
Bunji Atsumi ◽  
Seiichi Sugiura ◽  
Kenji Kimura

This paper discusses the mental work load index in vehicle driving and operation of various instruments by the use of the analysis method of heart rate variability. According to what has been reported previously, the heart rate (HR) and the respiratory sinus arrhythmia (RSA) is obtained by the FFT analysis of the R-R Interval. However, the calculation to obtain RSA by the FFT method has a drawback in that it is so complicated that it is impossible to detect dynamic mental variation. Therefore, we have devised a new method of calcurating RSA, which calculates the R-R variability (RRV) at each 3 beats. The method is referred to the RRV3 method. We succeeded to verify that this method enables simplified collection of RSA and real time measurement of mental work load in vehicle driving including dynamic variations.

1993 ◽  
Vol 29 (Supplement) ◽  
pp. 404-405
Author(s):  
Bunji ATSUMI ◽  
Seiichi SUGIURA ◽  
Kenji KIMURA ◽  
Humihiro USHIJIMA

1993 ◽  
Vol 29 (Supplement) ◽  
pp. 406-407
Author(s):  
Bunji ATSUMI ◽  
Seiichi SUGIURA ◽  
Kenji KIMURA ◽  
Hiroshi KISHI ◽  
Masaaki NISHIWAKI

2016 ◽  
Vol 136 (11) ◽  
pp. 1581-1585 ◽  
Author(s):  
Tota Mizuno ◽  
Takeru Sakai ◽  
Shunsuke Kawazura ◽  
Hirotoshi Asano ◽  
Kota Akehi ◽  
...  

1995 ◽  
Vol 269 (2) ◽  
pp. H480-H486 ◽  
Author(s):  
Y. Yamamoto ◽  
J. O. Fortrat ◽  
R. L. Hughson

The purpose of the present study was to investigate the basic fractal nature of the variability in resting heart rate (HRV), relative to that in breathing frequency (BFV) and tidal volume (TVV), and to test the hypothesis that fractal HRV is due to the fractal BFV and/or TVV in humans. In addition, the possible fractal nature of respiratory volume curves (RVC) and HRV was observed. In the first study, eight subjects were tested while they sat quietly in a comfortable chair for 60 min. Beat-to-beat R-R intervals, i.e., HRV, and breath-by-breath BFV and TVV were measured. In the second study, six subjects were tested while they were in the supine position for 20-30 min. The RVC was monitored continuously together with HRV. Coarse-graining spectral analysis (Yamamoto, Y., and R. L. Hughson, Physica D 68: 250-264, 1993) was applied to these signals to evaluate the percentage of random fractal components in the time series (%Fractal) and the spectral exponent (beta), which characterizes irregularity of the signals. The estimates of beta were determined for each variable only over the range normally used to evaluate HRV. Values for %Fractal and beta of both BFV and TVV were significantly (P < 0.05) greater than those for HRV. In addition, there was no significant (P > 0.05) correlation between the beta values of HRV relative to either BFV (r = 0.14) or TVV (r = 0.34). RVC showed a smooth oscillation as compared with HRV; %Fractal for RVC (42.3 +/- 21.7%, mean +/- SD) was significantly (P < 0.05) lower than that for HRV (78.5 +/- 4.2%).(ABSTRACT TRUNCATED AT 250 WORDS)


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