心拍の呼吸性変動を用いた機械操作時の一過性ストレスのオンライン推定法 : 仰臥位での暗算課題を用いた推定精度の検証(機械力学,計測,自動制御)

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This paper describes the on-line estimation method of Mental Work Load (MWL) during machine operation. The time-dependent changes of MWL may be estimated from the amplitude of Respiratory Sinus Arrhythmia (RSA), which is variation of heart rate mediated by parasympathetic nerves. However, the RSA amplitude is also accompanied with respiration, such as tidal volume and breathing frequency. Therefore, we used Kalman filter to eliminate respiration-correlated fluctuation, and to estimate the trend of RSA amplitude. Finally, we developed an on-line estimation method of the trend of RSA amplitude. This method was verified with mental arithmetic testing. The results showed the method could detect the change of mental states in real-time and track the trend smoothly.
2004-01-25