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• [P702] Real Time Autonomic Nervous System Display with Air Cushion Sensor while Seated
  Author(s): Kenta Yamamoto, Naoki Tsuchiya, Hiroshi Nakajima, Syoji Kobashi, Yutaka Hata
  
  

  Abstract
  This paper proposes functional assessment system of autonomic nervous system by the heart rate variability using an air cushion sensor. The air cushion sensor can unconstraintly detect vital information by sitting down on the sensor. We perform functional assessment of autonomic nervous system by heart rate variability obtained by the system. We built the real time display system for visualizing the autonomic nervous system functions. In this system, we employ fuzzy membership functions with dynamic parameter to detect RR intervals. The experimental results show that we detect RR intervals with the correlation coefficient of 0.846 with comparison to that of electrocardiograph. Then, the errors of the HF (index of parasympathetic system) and the LF/HF (index of sympathetic system) are 18.34% and 16.99%, respectively.

  
   

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