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Applications of dynamical complexity theory in traditional Chinese medicine |
Yan Ma1,2, Shuchen Sun3, Chung-Kang Peng1,4() |
1. Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA 2. Sleep Center, Eye Hospital, China Academy of Chinese Medical Sciences, Beijing 100040, China 3. Department of Otolaryngology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China 4. Center for Dynamical Biomarkers and Translational Medicine, National Central University, Chung-Li, Taiwan, China |
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Abstract Traditional Chinese medicine (TCM) has been gradually accepted by the world. Despite its widespread use in clinical settings, a major challenge in TCM is to study it scientifically. This difficulty arises from the fact that TCM views human body as a complex dynamical system, and focuses on the balance of the human body, both internally and with its external environment. As a result, conventional tools that are based on reductionist approach are not adequate. Methods that can quantify the dynamics of complex integrative systems may bring new insights and utilities about the clinical practice and evaluation of efficacy of TCM. The dynamical complexity theory recently proposed and its computational algorithm, Multiscale Entropy (MSE) analysis, are consistent with TCM concepts. This new system level analysis has been successfully applied to many health and disease related topics in medicine. We believe that there could be many promising applications of this dynamical complexity concept in TCM. In this article, we propose some promising applications and research areas that TCM practitioners and researchers can pursue.
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Keywords
traditional Chinese medicine
Multiscale Entropy
dynamical complexity
system level
applications
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Corresponding Author(s):
Chung-Kang Peng
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Online First Date: 09 September 2014
Issue Date: 09 October 2014
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