Validation of a novel traditional Chinese medicine pulse diagnostic model using an artificial neural network

Anson Chui Yan TANG, Wai Yee Joanne CHUNG, Kwok Shing Thomas WONG

Research output: Contribution to journalArticles

16 Citations (Scopus)

Abstract

In view of lacking a quantifiable traditional Chinese medicine (TCM) pulse diagnostic model, a novel TCM pulse diagnostic model was introduced to quantify the pulse diagnosis. Content validation was performed with a panel of TCM doctors. Criterion validation was tested with essential hypertension. The gold standard was brachial blood pressure measured by a sphygmomanometer. Two hundred and sixty subjects were recruited (139 in the normotensive group and 121 in the hypertensive group). A TCM doctor palpated pulses at left and right cun, guan, and chi points, and quantified pulse qualities according to eight elements (depth, rate, regularity, width, length, smoothness, stiffness, and strength) on a visual analog scale. An artificial neural network was used to develop a pulse diagnostic model differentiating essential hypertension from normotension. Accuracy, specificity, and sensitivity were compared among various diagnostic models. About 80% accuracy was attained among all models. Their specificity and sensitivity varied, ranging from 70% to nearly 90%. It suggested that the novel TCM pulse diagnostic model was valid in terms of its content and diagnostic ability. Copyright © 2012 Anson Chui Yan Tang et al.
Original languageEnglish
Article number685094
JournalEvidence-based Complementary and Alternative Medicine
Volume2012
DOIs
Publication statusPublished - 2012

Citation

Tang, A. C. Y., Chung, W. Y. C., & Wong, T. K. S. (2012). Validation of a novel traditional Chinese medicine pulse diagnostic model using an artificial neural network. Evidence-based Complementary and Alternative Medicine, 2012, art. no. 685094.

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