Pulse signal analysis of patients with coronary heart diseases using Hilbert-Huang transformation and time-domain method
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OriginalPaper|Updated:2021-08-27
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Pulse signal analysis of patients with coronary heart diseases using Hilbert-Huang transformation and time-domain method
Pulse signal analysis of patients with coronary heart diseases using Hilbert-Huang transformation and time-domain method
中国结合医学杂志(英文版)2015年21卷第5期 页码:355-360
Affiliations:
1. Syndrome Laboratory of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine,Shanghai,China
2. Department of Engineering Mechanics, Shanghai Jiaotong University,Shanghai,China
3. Department of Cardiothoracic Surgery, Renji Hospital Affiliated to Medicine School of Shanghai Jiaotong University,Shanghai,China
Author bio:
Funds:
Supported by the National 973 Basic Research and Development Program (No. 2003CB517108) and Supported by the National Natural Science Foundation of China (No. 30600796, 81373555, and 81403273)
Li, Ff., Sun, R., Xue, S. et al. Pulse signal analysis of patients with coronary heart diseases using Hilbert-Huang transformation and time-domain method., Chin. J. Integr. Med. 21, 355–360 (2015). https://doi.org/10.1007/s11655-015-2173-7
Fu-feng Li, Ren Sun, Song Xue, et al. Pulse signal analysis of patients with coronary heart diseases using Hilbert-Huang transformation and time-domain method[J]. Chinese Journal of Integrative Medicine, 2015,21(5):355-360.
Li, Ff., Sun, R., Xue, S. et al. Pulse signal analysis of patients with coronary heart diseases using Hilbert-Huang transformation and time-domain method., Chin. J. Integr. Med. 21, 355–360 (2015). https://doi.org/10.1007/s11655-015-2173-7DOI:
Fu-feng Li, Ren Sun, Song Xue, et al. Pulse signal analysis of patients with coronary heart diseases using Hilbert-Huang transformation and time-domain method[J]. Chinese Journal of Integrative Medicine, 2015,21(5):355-360. DOI: 10.1007/s11655-015-2173-7.
Pulse signal analysis of patients with coronary heart diseases using Hilbert-Huang transformation and time-domain method
摘要
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. 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). 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
ts
t4/t were increased and w was wider; (2) 44% of C2 waves in HHT were chaotic and disordered and 72% of C waves were exhibited irregularly with average amplitude over 10 g-forces
which were all significantly different from controls. 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.
Abstract
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. 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). 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
ts
t4/t were increased and w was wider; (2) 44% of C2 waves in HHT were chaotic and disordered and 72% of C waves were exhibited irregularly with average amplitude over 10 g-forces
which were all significantly different from controls. 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.
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Intelligent Chinese Medicine: A New Direction Approach for Integrative Medicine in Diagnosis and Treatment of Cardiovascular Diseases
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The First Clinical College of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China;School of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China;Hunan Key Laboratory of Colleges and Universities of Intelligent Traditional Chinese Medicine Diagnosis and Preventive Treatment of Chronic Diseases of Hunan Universities of Chinese Medicine, Changsha, China