Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/16273
Title: Chaotic characteristics extraction of acupuncture neural electrical signals
Authors: Han, CX
Wang, J
Wong, YK
Tsang, KM 
Issue Date: 2013
Source: Information (japan), 2013, v. 16, no. 11, p. 8111-8120
Abstract: Acupuncture, as a mechanical action, can be equivalent to an external stimulus to the neural system, which induces the neural system to evoke various kinds of neural electrical signals in that both the variation of the stimulus and the highly nonlinearity of the neural system itself. It is also found that different acupuncture manipulations can generate different kinds of fire patterns. Therefore, it is necessary to exploit the nonlinear characteristics from the neural electrical signals evoked by different acupuncture manipulations. For this study, an experiment is performed that acupuncture at Zusanli acupoint by four acupuncture manipulations with different frequency to obtain the spike trains at spinal dorsal hom. Because the neural information transmission underlying the temporal spike timing, so the concepts of interspike intervals and point-process are introduced and several nonlinear time series methods are applied to extract the nonlinear characteristics parameters from the neural electrical signals such as Lyapunov exponent, fractal dimension and complexity. Our results show that under the effect of the acupuncture, the neural electrical signals of spinal dorsal hom based on acupuncture at Zusanli acupoint shows obviously chaotic characteristics. Meanwhile, the neural coding of the electrical signal evoked by different acupuncture manipulates is obtained.
Keywords: Acupuncture
Chaotic
Neural electrical signals
Spinal dorsal hom
Publisher: International Information Institute
Journal: Information (Japan) 
ISSN: 1344-8994
Appears in Collections:Journal/Magazine Article

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