[Study of traditional Chinese medicine pulse signals in patients with coronary heart disease based on recurrence

Rui Guo1, Yi-qin Wang, Jian-jun Yan

  • 1Laboratory of Information Access and Synthesis of Traditional Chinese Medicine Four Diagnosis, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.

Insights

Recurrence Quantification Analysis (RQA) of traditional Chinese medicine pulse signals reveals distinct nonlinear dynamics in coronary heart disease (CHD) patients. These RQA parameters offer a reliable method for differentiating CHD from normal subjects.

Area of Science:

  • Cardiovascular Medicine
  • Nonlinear Dynamics
  • Traditional Chinese Medicine (TCM)

Context:

  • Coronary heart disease (CHD) diagnosis remains a critical challenge in cardiovascular medicine.
  • Traditional Chinese Medicine pulse diagnosis offers a unique, non-invasive approach to health assessment.
  • Exploring nonlinear dynamics in physiological signals can reveal subtle disease-related patterns.

Purpose:

  • To apply Recurrence Quantification Analysis (RQA) to TCM pulse signals from CHD patients and healthy individuals.
  • To identify nonlinear dynamic parameters within pulse signals that can effectively distinguish between CHD and normal subjects.
  • To evaluate the diagnostic potential of these RQA parameters using receiver operating characteristic (ROC) curve analysis.

Summary:

  • Pulse signals were collected from 63 CHD patients and 61 normal subjects between October 2007 and June 2008.
  • RQA parameters, including recurrence rate (RR), determinism (DET), and trapping time (TT), showed significant differences between groups.
  • ROC curve analysis indicated high diagnostic value for RR, TT, Vmax, DET, and LAM, with areas under the curve ranging up to 1.000.

Impact:

  • Pulse signals from CHD patients exhibit greater certainty, regularity, and stability compared to normal subjects.
  • RQA provides a quantitative, data-driven method to interpret TCM pulse diagnosis for CHD.
  • This study highlights the potential of RQA as a non-invasive diagnostic tool for coronary heart disease.
Abstract

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