Analysis and Recognition of Traditional Chinese Medicine Pulse Based on the Hilbert-Huang Transform and Random Forest in Patients with Coronary Heart Disease
Joint Authors
Wang, Yi-Qin
Yan, Jian-Jun
Liu, Guo-Ping
Yan, Hai-Xia
Yuan, Fengyin
Xu, Wenjie
Guo, Rui
Xu, Zhao-Xia
Source
Evidence-Based Complementary and Alternative Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-09
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Objective.
This research provides objective and quantitative parameters of the traditional Chinese medicine (TCM) pulse conditions for distinguishing between patients with the coronary heart disease (CHD) and normal people by using the proposed classification approach based on Hilbert-Huang transform (HHT) and random forest.
Methods.
The energy and the sample entropy features were extracted by applying the HHT to TCM pulse by treating these pulse signals as time series.
By using the random forest classifier, the extracted two types of features and their combination were, respectively, used as input data to establish classification model.
Results.
Statistical results showed that there were significant differences in the pulse energy and sample entropy between the CHD group and the normal group.
Moreover, the energy features, sample entropy features, and their combination were inputted as pulse feature vectors; the corresponding average recognition rates were 84%, 76.35%, and 90.21%, respectively.
Conclusion.
The proposed approach could be appropriately used to analyze pulses of patients with CHD, which can lay a foundation for research on objective and quantitative criteria on disease diagnosis or Zheng differentiation.
American Psychological Association (APA)
Guo, Rui& Wang, Yi-Qin& Yan, Hai-Xia& Yan, Jian-Jun& Yuan, Fengyin& Xu, Zhao-Xia…[et al.]. 2015. Analysis and Recognition of Traditional Chinese Medicine Pulse Based on the Hilbert-Huang Transform and Random Forest in Patients with Coronary Heart Disease. Evidence-Based Complementary and Alternative Medicine،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1063729
Modern Language Association (MLA)
Guo, Rui…[et al.]. Analysis and Recognition of Traditional Chinese Medicine Pulse Based on the Hilbert-Huang Transform and Random Forest in Patients with Coronary Heart Disease. Evidence-Based Complementary and Alternative Medicine No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1063729
American Medical Association (AMA)
Guo, Rui& Wang, Yi-Qin& Yan, Hai-Xia& Yan, Jian-Jun& Yuan, Fengyin& Xu, Zhao-Xia…[et al.]. Analysis and Recognition of Traditional Chinese Medicine Pulse Based on the Hilbert-Huang Transform and Random Forest in Patients with Coronary Heart Disease. Evidence-Based Complementary and Alternative Medicine. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1063729
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1063729