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[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.
Objective:
By using recurrence quantification analysis (RQA) to analyze traditional Chinese medicine pulse signals of patients with coronary heart disease (CHD), this study aims to find nonlinear dynamic parameters of pulses to distinguish patients with CHD from normal subjects.
Methods:
First, pulse signals were collected using ZBOX-I pulse digitization gathering analyzer from October 2007 to June 2008. RQA was used to analyze RQA parameters of pulses of 63 patients with CHD and 61 normal subjects. RQA parameters included recurrence rate (RR), determinism (DET), averaged diagonal length (L), entropy of diagonal length (ENTR), length of longest diagonal line (L(max)), laminarity (LAM), trapping time (TT) and length of longest vertical line (V(max)). Then, rank-sum test and BoxPlot were employed to find significant difference and distribution of RQA parameters. Lastly, receiver operating characteristic (ROC) curves were used to assess the diagnostic value of the measurements with significant difference.
Results:
There were significant differences in RQA parameters of pulse signals between the two groups, including RR, DET, L, ENTR, LAM, TT and V(max), and their areas under the ROC curves were 1.000, 0.898, 0.653, 0.673, 0.885, 0.898, 0.986 and 0.994, respectively.
Conclusion:
Compared with the normal subjects, the pulse signals of the patients with CHD are presented with more certainty, regularity and stability. RQA measurements of RR, TT, Vmax, DET and LAM show good diagnostic value according to their ROC curves.
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