A Study on Human Autonomic Nervous System Activities by Far-Infrared Ray Hyperthermia

원적외선 온열이 인체 자율신경기능에 미치는 영향에 관한 연구

  • Park Chan-Ouk (Department of Electrical & Electronic Engineering, Yonsei University) ;
  • Jang Yun-Ho (Department of Electrical & Electronic Engineering, Yonsei University) ;
  • Min Se-Dong (Department of Electrical & Electronic Engineering, Yonsei University) ;
  • Kang Se-Gu (Department of Electrical & Electronic Engineering, Yonsei University) ;
  • Lee Chung-Keun (Department of Electrical & Electronic Engineering, Yonsei University) ;
  • Lee Myoungho (Department of Electrical & Electronic Engineering, Yonsei University)
  • 박찬욱 (연세대학교 공과대학 전기전자공학과) ;
  • 장윤호 (연세대학교 공과대학 전기전자공학과) ;
  • 민세동 (연세대학교 공과대학 전기전자공학과) ;
  • 강세구 (연세대학교 공과대학 전기전자공학과) ;
  • 이충근 (연세대학교 공과대학 전기전자공학과) ;
  • 이명호 (연세대학교 공과대학 전기전자공학과)
  • Published : 2004.12.01

Abstract

This paper describes autonomic nervous system activities caused by hyperthermia of far-infrared ray on human body. Designed protocol and analysis algorithm were evaluated by experiments on 20 subjects to analyze the characteristic of heart rate variability(HRV) signals which could be analyzed by FFT power spectrum and time-frequency analysis. Using Poincare' plot analysis, LF and HF were compared with SD1 and SD2. During the experiment, subject was exposed to hyperthermic effects of far-infrared radiation. We could confirm that far-infrared ray, which was known to improve the blood circulation, stress state and enhancing thermal effect into human body, had an effect on human nervous system. As the hyperthermic temperature of far-infrared ray increased, the activity of cardiovascular system to sustain the homeostasis was observed by means of investigating the increase of the sympathetic activity.

본 논문에서는 원적외선 온열효과가 자율 신경계에 미치는 영향을 심박변동(HRV)을 이용하여 평가 하였다. 측정된 심박변동신호를 FFT 의한 전력스펙트럼을 구함으로써 자율 신경계의 반응 특성을 고찰하고 Poincare plot 분석 방법을 이용하여 결과를 비교 분석하였다. 실험을 통해 심박변동 신호분석해보면 원적외선 온열에 노출되기 전에 비해 노출된 후에 매우 복잡한 모습임을 관찰 할 수 있었는데 이것은 자율신경계가 관여하는 심혈관계 제어 메커니즘이 원적외선 온열에 노출되기 전보다 노출된 후에 더욱 복잡함을 반영하는 것으로 분석된다.

Keywords

References

  1. 이병채,‘카오스 이론을 이용한 생체 비선형 동역학 시스템의 특성 해석' 연세대학교 대학원, 박사학위 논문, 1995
  2. A. Malliani, M. Pagani, F. Lombardi and S. Cerutli., ‘Cardiovascular Neural Regulation Explored in Frequency Domain’, Circulation, No. 84, pp. 482-492, 1991
  3. S. J. Pieper and S. C. Hammill, ‘Heart Rate Variability: Technique and Investigational Applications in Cardiovascular Medicine', Mayo Clin Proc, Vol. 70, pp. 955-964, 1995
  4. K. Shin, 'The Study on Power Spectral Analysis of Heart Rate Variability for Assessment of Autonomic Functions in Cardiovascular Control', Keio University, The Ph. D. Dissertation, 1995
  5. SM. Kay, 'Modern Spectral Analysis: Theory and Application', Prentice-Hall Englewood Cliffs , N.J., 1987
  6. K.S. Shin, H. Minamitani, M.H. Lee, 'A new algorithm for obtaining an evenly-spaced heart rate variability signal from a cardiac event series', KITE Journal, Vol.6, No.2, pp40-49, 1995
  7. S.M. Kay , S.L. Marple, 'Spectral analysis - a modern perspective', Proc. IEEE, Vol.69, pp.1380-1419, 1981
  8. S.J. Pieper, S.C. Hammill, 'Heart rate variability Technique and investigational applications in cardiovascular medicine', Mayo Clin. Proc., Vol. 70, pp.955-964, 1995
  9. A. Malliani, F. Lombardi, M. Pagani, 'Power spectrum analysis of heart rate vatiability a tool to explore neural regulatory mechanism', British Heart J., Vol.72, pp.1-2, 1994
  10. Y. Imai, 'Heart rate measurement and outcome', Blood Press Monit, pp.53-5, Feb 2003
  11. PRB. Barbosa, 'The effect of the instaneous RR interval on the dynamic properties of the heart rate and the ventricular repolarization duration variability', Computer in Cardiology, pp. 821-824, 2000
  12. M. Brennan, M. Palaniswami, and P. Kamen 'Poincare plot interpretation using a physiological model of HRV based on a network of oscillators', American Journal of Physiology , Heart Circ Physiol, Vol 283, pp. H1873-H1886, 2002