Identification of Hysteresis in Human Meridian Systems Based on NARMAX Model

It has been found that the response of acupuncture point on the human meridian line exhibits nonlinear dynamic behavior when excitation of electroacupuncture is implemented on another meridian point. This nonlinear phenomenon is in fact a hysteretic phenomenon. In order to explore the characteristic of human meridian and finally find a way to improve the treatment of diseases via electro-acupuncture method, it is necessary to identify the model to describe the corresponding dynamic hysteretic phenomenon of human meridian systems stimulated by electric-acupuncture. In this paper, an identification method using nonlinear autoregressive and moving average model with exogenous input (NARMAX) is proposed to model the dynamic hysteresis in human meridian. As the hysteresis is a nonlinear system with multivalued mapping, the traditional NARMAX model is unavailable to it directly. Thus, an expanded input space is constructed to transform the multi-valued mapping of the hysteresis to a one-to-one mapping. Then, the identification method using NARMAX model on the constructed expanded input space is developed. Finally, the proposed method is applied to hysteresis modeling for human meridian systems.

[1]  J.J. Tsuei A modern interpretation of acupuncture and the meridian system , 1998, Proceedings of the 2nd International Conference on Bioelectromagnetism (Cat. No.98TH8269).

[2]  Li Chuntao,et al.  A neural networks model for hysteresis nonlinearity , 2004 .

[3]  Zdzisław Włodarski Alternative Preisach models , 2005 .

[4]  Sheng Chen,et al.  Representations of non-linear systems: the NARMAX model , 1989 .

[5]  Mayergoyz,et al.  Mathematical models of hysteresis. , 1986, Physical review letters.

[6]  M. Boutayeb,et al.  Recursive identification method for MISO Wiener-Hammerstein model , 1995, IEEE Trans. Autom. Control..

[7]  Yonghong Tan,et al.  Neural network based identification of Preisach-type hysteresis in piezoelectric actuator using hysteretic operator , 2006 .

[8]  H. Akaike A new look at the statistical model identification , 1974 .

[9]  Paolo Nistri,et al.  Mathematical Models for Hysteresis , 1993, SIAM Rev..

[10]  Ruili Dong,et al.  A modified Prandtl–Ishlinskii modeling method for hysteresis , 2009 .

[11]  R. Ben Mrad,et al.  On the classical Preisach model for hysteresis in piezoceramic actuators , 2003 .

[12]  Yonghong Tan,et al.  Modeling of Meridian Channels , 2009, BIODEVICES.

[13]  Musa Jouaneh,et al.  Modeling hysteresis in piezoceramic actuators , 1995 .

[14]  T. Yamamoto,et al.  Dynamic system for the measurement of electrical skin impedance , 2006, Medical and Biological Engineering and Computing.

[15]  Andrew C Ahn,et al.  Electrical properties of acupuncture points and meridians: A systematic review , 2008, Bioelectromagnetics.

[16]  Yonghong Tan,et al.  Recursive identification for dynamic systems with backlash , 2009 .

[17]  W Zhang,et al.  The influence of acupuncture on the impedance measured by four electrodes on meridians. , 1999, Acupuncture & electro-therapeutics research.

[18]  T Yamamoto,et al.  Measurement of electrical bio-impedance and its applications. , 1987, Medical progress through technology.

[19]  Andrew A. Marino,et al.  Electrical Correlates of Acupuncture Points , 1975, IEEE Transactions on Biomedical Engineering.