인체에 있어서 수동적 전기특성을 이용한 신호전달방향 계측법 개발

A Development of the Method Measuring from Signal Propagation Direction using Passive Electrical Properties in Human Body

  • 발행 : 2006.08.01

초록

In this study, a method measuring signal propagation direction in human body was developed by using passive electrical properties of the body. The measured method of the signal propagation direction is to apply basic characteristic of electricity to the human body; when a voltage is set to a conducted medium, according to the polarity of the conducted voltage, the voltage rising or drop is generated. And using this concept, it is able to estimate the direction of electrical signal on the human body. The passive electrical properties were measured and the direction of signal propagation was estimated on the followings; between the flexor carpi radialis, between arms, between legs, between an arm and a leg, between the cervical vertebra and the upper limb, between the sacral vertebra and the leg, between the cervical vertebra and the tendon of triceps brachii, and between the sacral vertebra and the calcaneal tendon. As the result of experiments, the passive electrical properties were increased from l[Hz] to 50[kHz] of the inputted frequencies and showed at saturating tendency after that. And also, the estimated signal propagation directions using the developed method in this study agreed with the expected directions exactly at each part of the human body.

키워드

참고문헌

  1. Alex F. Roche, Steven B. Heyrnsfield, Timothy G. Lohman, 'Human body composition', Human Kinetics, pp. 79-102. 1996
  2. Darren J. Michael and R. Mark Wightman, 'Electrochemical monitoring of biogenic amine neurotransmission in real time', Journal of Pharmaceutical and Biomedical Analysis, Vol.l9, Issue 1-2, pp.33-46, 1999 https://doi.org/10.1016/S0731-7085(98)00145-9
  3. Jarmo Ruohonen, Paolo Ravazzani, JanNilsson, Marcela Panizza, Ferdinando Grandori, Gabriella Togola 'A volume-conduction analysis of magnetic stimulation of peripheral nerves', IEEE Trans. Biomed. Eng, Vol. 43, Issue 7, pp.669-678, 1996 https://doi.org/10.1109/10.503174
  4. Neil Schaul, 'The fundamental neural mechanisms of ?electroencephalography'. Electroenceph. clin. Neurohpysiol, Vol. 106, Issue 2, .pp.101-107, 1998 https://doi.org/10.1016/S0013-4694(97)00111-9
  5. C. C. Mclntyre, A. G. Richardson, W. M. Grill, 'Modeling the excitability of mammalian nerve fibers : Influence of afterpotentials on the recovery cycle', Journal of Neurophysology, vol. 87, pp. 995-1006, 2002 https://doi.org/10.1152/jn.00353.2001
  6. Dorin Panescu, Kevin P. Cohen, John G. Webster, Robert A. Stratbucker, 'The mosaic electrical characteristics of the skin', IEEE Trans. Biomed. Eng., Vol. 40, Issue 1, pp.434-439, 1993 https://doi.org/10.1109/10.243418
  7. Keneth R. Lutchen, 'Optimal selection of frequencies for estimating parameters from respiratory impedance data', IEEE Trans. Biomed. Eng, Vol. 35, Issue 8, pp. 607-617, 1988 https://doi.org/10.1109/10.4593
  8. S. Martin, D. Macisaac, 'Innervation zone shift with changes in joint angle in the brachial biceps', Journal of Electromyography and Kinesiology, 16, pp. 144-148, 2006 https://doi.org/10.1016/j.jelekin.2005.06.010
  9. D. Farina, R. Merletti, 'Estimation of average muscle fiber conduction velocity from two-dimensional surface EMG recordings', Journal of Neuroscience Methods, Journal of Neuroscience Methods, vol. 134, pp. 199-208, 2004 https://doi.org/10.1016/j.jneumeth.2003.12.002
  10. Changfeng Tai, William C. de Groat, James R. Roppolo, 'Simulation Analysis of conduction block in unmyelinated axons induced by high-frequency biphasic electrical currents', IEEE Trans. Biomedical Engineering, vol. 52, No.7, 2005 https://doi.org/10.1109/TBME.2005.847561
  11. Farmo Ruohonen, Paolo Ravazzani, Ferdinando Grandori, 'An analytical model to predict the electric field and excitation zones due to magnetic stimulation of peripheral nerves', IEEE Trans. Biomed. Eng, Vo1.42, Issue 2, pp.158-161, 1995 https://doi.org/10.1109/10.341828
  12. Bradley J. Roth, 'A mathematical model of make and break electrical stimulation of cardiac tissue by a unipolar anode or cathode', IEEE Trans. Biomed. Eng, Vol. 42, Issue 12, pp.1174-1184, 1995 https://doi.org/10.1109/10.476124
  13. J. W. Fernandez, M. L. Buist, D. P. Nickerson, P. J. Hunter, 'Modelling the passive and nerve activated response of the rectus femoris muscle to a flexion loading: A finite element framework', Medical Engineering and Physics, vol. 27, pp. 862-870, 2005 https://doi.org/10.1016/j.medengphy.2005.03.009
  14. Ping Fu and Beri L.Bardakjian, Aldo D' aguanno, Peter L. Carlen, 'Computations of the passive electrical parameters of neurons using a system model', IEEE Trans. Biomed. Eng, Vol. 36, Issue 1, pp.55-64, 1989 https://doi.org/10.1109/10.16449
  15. Arthur C. Guyton, John E. Hall, 'Textbook of medical physiology', W. B. Saunders, 10th Ed. 2000
  16. George H. Bell, Donald Emslie-Smith, Colin R. Paterson, 'Textbook of physiology ', Churchill Livingstone, 1980
  17. 최명애, 김주현, 박미정, '생리학', 현문사, 1995
  18. Elaine N. Marieb, Jon Mallatt, 'Human Anatomy', Benjamin, pp. 216-294, 1997