Key result
Acoustic pulse waveform analysis of the fourth and third layers of the left Cun pulse identified patients with stable coronary heart disease with rates of 90.79% and 88.16%, respectively.
Why the study?
Unsmooth pulse has important diagnostic value in TCM and modern pulse diagnosis, but few studies have examined it using acoustic waveforms to explore abnormal pulse changes in stable coronary heart disease.
Does wrist pulse diagnosis based on acoustic waveforms identify patients with stable coronary heart disease compared to healthy individuals?
Observational
Does wrist pulse diagnosis based on acoustic waveforms identify patients with stable coronary heart disease compared to healthy individuals?
Acoustic waveform analysis of wrist pulse may provide a novel, non-invasive method to identify patients with stable coronary heart disease.
Should not yet change practice for stable CHD detection; leaves open need for prospective validation.
BACKGROUND AND OBJECTIVE: As a common pathological pulse, unsmooth pulse has important diagnostic value in traditional Chinese medicine (TCM). In modern pulse diagnosis, unsmooth pulse plays an important role in the diagnosis of disease location and nature, but there are few studies on it. In this paper, a pulse diagnosis approach based on acoustic waveforms was proposed, the wrist pulse was divided into five layers vertically for the first time. Five layers acoustic waves of the radial artery in stable coronary heart disease (CHD) patients and relatively healthy people were compared to explore whether there are abnormal changes in acoustic pulse in stable CHD patients. METHODS: The acoustic features of unsmooth pulse in patients with stable CHD were analyzed in time domain, frequency domain and empirical mode decomposition, combined with shannon entropy and multi-scale entropy. Sixteen pulse characteristics were discovered, and one-way analysis of variance were performed. The characteristics of the two groups were tested by T test. 13 features were used to identify patients with stable CHD by support vector machine (SVM). RESULTS: Compared to healthy people, all parameters of the third layer of the stable CHD left Cun pulse were significantly different from those of the healthy people. The identification rates of the fourth and third layer of the left Cun pulse were the first (90.79%) and the second (88.16%), respectively. CONCLUSION: Abnormal acoustic pulse appeared in the radial artery in patients with stable CHD. According to these changes, patients with stable CHD can be effectively identified from the perspective of pulse.
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Cui et al. (2021) conducted an observational in Stable coronary heart disease. Acoustic pulse waveform analysis vs. Relatively healthy people was evaluated on Identification rate of stable CHD. Acoustic pulse waveform analysis of the fourth and third layers of the left Cun pulse identified patients with stable coronary heart disease with rates of 90.79% and 88.16%, respectively.
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