Title: Analysis of body constitutions discrimination based on radial pulse wave by SVM

Authors: Nan Li; Jiarui Yu; Xiaobo Mao; Yuping Zhao; Luqi Huang

Addresses: College of Electrical Engineering, Zhengzhou University, Zhengzhou, 450001, China ' College of Electrical Engineering, Zhengzhou University, Zhengzhou, 450001, China ' College of Electrical Engineering, Zhengzhou University, Zhengzhou, 450001, China ' China Academy of Chinese Medical Sciences, 100700, China ' College of Electrical Engineering, Zhengzhou University, Zhengzhou, 450001, China; China Academy of Chinese Medical Sciences, 100700, China

Abstract: In this work, a new method for distinguishing human's physical constitution based on pulse information is proposed. Firstly, pulse data were collected, processed and pulse cycles were segmented. Secondly, time domain features, features coefficients, power spectrums and energy values of pulse wave were extracted and analysed, respectively. Finally, pulse features were evaluated and classified to distinguish different body constitutions by SVM classifier. The experiment indicated that the features selected could be appropriately used to analyse the physical constitutions and can serve as the basis for research on constitution assessment based on traditional Chinese medicine pulse diagnosis.

Keywords: traditional Chinese medicine; TCM; pulse characteristics; body constitutions; support vector machine; SVM.

DOI: 10.1504/IJMEI.2023.127254

International Journal of Medical Engineering and Informatics, 2023 Vol.15 No.1, pp.45 - 57

Received: 13 Jun 2020
Accepted: 31 Jan 2021
Published online: 30 Nov 2022 *