Pulse Wave Analysis in Patients with Coronary Heart Disease Based on Hilbert-Huang Transformation and Time-domain

Objective: To study the characteristics of pulse tracings in CHD, and objectively evaluate the significance of pulse signal in diagnosis and appreciation of therapeutic effect in patients with coronary heart disease(CHD), and accordingly provide with theoretic proofs for developing non-invasive technique of pulse diagnosis. Methods: By using the pulse detection system, pulse graphs in CHD patients, patients without CHD and "health" adults were collected and compared. Then characters of the pulse signal were analyzed with Hilbert-Huang transformation routine (HHT) and time-domain method respectively. Results: There existed characteristic change in pulse graph in CHD. ① h1,h3,h4,h3/h1,t,t5/t4 in time domain parameters of pulse graph increased and w1 was widened. ② 44% of C2 wave in HHT display showed chaotic and disorderly wave and irregularly wave amplitude in CHD. And 72% of C5 Wave exhibited in irregular wave with average wave amplitude over 10 gram-forces. These changes were significantly different from health adults. Conclusion: Characteristic wave of pulse graph extracted with methods of time domain or HHT routine might be considered as proofs for diagnosis and differentiation in CHD. Our researches prognosticate that pulse diagnosis can be used as an ancillary determination in occurrence of CHD for reasons of the advantage of convenient operation and non-invasion.

Pulse Signal Analysis of Patients with Coronary Heart Diseases Using Hilbert-Huang Transformation and Time-Domain Method

Objective： To explore characteristic of pulse signal to distinguish patients with coronary heart diseases （CHD） from patients without CHD and healthy adults, and accordingly evaluate the potential role of pulse signal to diagnosis CHD. Methods： Totally 407 patients enrolled from 4 collaborating medical centers were assigned to a CHD group （205 patients） and a non-CHD group （202 patients）. The healthy control group （62 adults） enrolled from Shanghai University of Traditional Chinese Medicine. Pulse signals were collected using the synchronous multiplex pulse signal acquisition system. The pulse signals were analyzed and extracted using Hilbert-Huang transformation （HHT） and time-domain, respectively. The time-domain parameters of pulse signal were processed by the analysis of variance （SNK test）. Results： Special patterns in the CHD group pulse signal were found in this study： （1） time-domain parameters of pulse signal, h1 , h3, h4, h3/h1, t, t5/t4 were increased and w was wider; （2） 44% of C2 waves in HHT were chaotic and disordered and 72% of C3 waves were exhibited irregularly with average amplitude over 10 g-forces, which were all significantly different from controls. Conclusion： Characteristic wave and time-domain parameters of pulse signal were extracted using HHT and time-domain which could be served as a non-invasive approach for assessing patients with CHD.