ANFIS-GA system for three-dimensional pulse image of normal and string-like pulse in Chinese medicine using an improved contour analysis method

Zhan Zhang, Bo Peng, Ching Hsing Luo, Cheng Chi Tai

Research output: Contribution to journalArticlepeer-review

Abstract

Introduction: In Chinese Medicine (CM), pulse feeling has been translated into a three-dimensional pulse image (3DPI), a visible quantitative format. An adaptive neuro-fuzzy inference system (ANFIS) with a genetic algorithm (GA) with several spatiotemporal indexes from contour analysis of 3DPIs was proposed in order to investigate the taut level of a string-like pulse. Methods: Forty-eight pulse image patterns and 283 2DPIs were obtained before and after a cold pressor test (CPT). The 3DPI and two-dimensional pulse image (2DPI) were constructed successively via spline interpolation. The improved contour analysis of pulse images was to elucidate three indexes from 2DPI at the contour level 0.8: the longitudinal diameter (2DL), the transverse diameter (2DT), and the area of contours. These indexes were adapted to ANFIS-GA system, whereas the output was taut level value α. Results: α can reflect the taut level of string-like pulse. The ANFIS-GA provides a pattern and system to analyze taut level of string-like pulse. Conclusions: CPT increases arterial stiffness to make pulse image tauter. The ANFIS-GA can efficiently demonstrate the taut level of pulse images to help CM physicians diagnose CM syndromes and promote CM standardization.

Original languageEnglish
Article number101301
JournalEuropean Journal of Integrative Medicine
Volume42
DOIs
Publication statusPublished - 2021 Feb

All Science Journal Classification (ASJC) codes

  • Complementary and alternative medicine

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