Pulse Signal Analysis of Patients with Coronary Heart Diseases Using Hilbert-Huang Transformation and Time-Domain Method  被引量:2

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

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作  者:李福凤 孙仁 薛松 钱鹏 燕海霞 张伟妃 孙祝美 张红凯 王忆勤 

机构地区:[1]Syndrome Laboratory of Traditional Chinese Medicine,Shanghai University of Traditional Chinese Medicine [2]Department of Engineering Mechanics,Shanghai Jiaotong University [3]Department of Cardiothoracic Surgery,Renji Hospital Affiliated to Medicine School of Shanghai Jiaotong University

出  处:《Chinese Journal of Integrative Medicine》2015年第5期355-360,共6页中国结合医学杂志(英文版)

基  金:Supported by the National 973 Basic Research and Development Program(No.2003CB517108);Supported by the National Natural Science Foundation of China(No.30600796,81373555,and 81403273)

摘  要: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.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.

关 键 词:coronary heart diseases pulse signal Hilbert-Huang transformation time domain 

分 类 号:R541.4[医药卫生—心血管疾病]

 

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