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Zhang H, Wang X, Liu C, Li Y, Liu Y, Jiao Y, Liu T, Dong H, Wang J. Discrimination of Patients with Varying Degrees of Coronary Artery Stenosis by ECG and PCG Signals Based on Entropy. ENTROPY (BASEL, SWITZERLAND) 2021; 23:823. [PMID: 34203339 PMCID: PMC8304206 DOI: 10.3390/e23070823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 06/22/2021] [Accepted: 06/24/2021] [Indexed: 11/16/2022]
Abstract
Coronary heart disease (CHD) is the leading cause of cardiovascular death. This study aimed to propose an effective method for mining cardiac mechano-electric coupling information and to evaluate its ability to distinguish patients with varying degrees of coronary artery stenosis (VDCAS). Five minutes of electrocardiogram and phonocardiogram signals was collected synchronously from 191 VDCAS patients to construct heartbeat interval (RRI)-systolic time interval (STI), RRI-diastolic time interval (DTI), HR-corrected QT interval (QTcI)-STI, QTcI-DTI, Tpeak-Tend interval (TpeI)-STI, TpeI-DTI, Tpe/QT interval (Tpe/QTI)-STI, and Tpe/QTI-DTI series. Then, the cross sample entropy (XSampEn), cross fuzzy entropy (XFuzzyEn), joint distribution entropy (JDistEn), magnitude-squared coherence function, cross power spectral density, and mutual information were applied to evaluate the coupling of the series. Subsequently, support vector machine recursive feature elimination and XGBoost were utilized for feature selection and classification, respectively. Results showed that the joint analysis of XSampEn, XFuzzyEn, and JDistEn had the best ability to distinguish patients with VDCAS. The classification accuracy of severe CHD-mild-to-moderate CHD group, severe CHD-chest pain and normal coronary angiography (CPNCA) group, and mild-to-moderate CHD-CPNCA group were 0.8043, 0.7659, and 0.7500, respectively. The study indicates that the joint analysis of XSampEn, XFuzzyEn, and JDistEn can effectively capture the cardiac mechano-electric coupling information of patients with VDCAS, which can provide valuable information for clinicians to diagnose CHD.
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Affiliation(s)
- Huan Zhang
- School of Control Science and Engineering, Shandong University, Jinan 250061, China; (H.Z.); (C.L.); (Y.L.); (Y.J.); (T.L.); (H.D.); (J.W.)
| | - Xinpei Wang
- School of Control Science and Engineering, Shandong University, Jinan 250061, China; (H.Z.); (C.L.); (Y.L.); (Y.J.); (T.L.); (H.D.); (J.W.)
| | - Changchun Liu
- School of Control Science and Engineering, Shandong University, Jinan 250061, China; (H.Z.); (C.L.); (Y.L.); (Y.J.); (T.L.); (H.D.); (J.W.)
| | - Yuanyang Li
- Department of Medical Engineering, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China;
- School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China
| | - Yuanyuan Liu
- School of Control Science and Engineering, Shandong University, Jinan 250061, China; (H.Z.); (C.L.); (Y.L.); (Y.J.); (T.L.); (H.D.); (J.W.)
| | - Yu Jiao
- School of Control Science and Engineering, Shandong University, Jinan 250061, China; (H.Z.); (C.L.); (Y.L.); (Y.J.); (T.L.); (H.D.); (J.W.)
| | - Tongtong Liu
- School of Control Science and Engineering, Shandong University, Jinan 250061, China; (H.Z.); (C.L.); (Y.L.); (Y.J.); (T.L.); (H.D.); (J.W.)
| | - Huiwen Dong
- School of Control Science and Engineering, Shandong University, Jinan 250061, China; (H.Z.); (C.L.); (Y.L.); (Y.J.); (T.L.); (H.D.); (J.W.)
| | - Jikuo Wang
- School of Control Science and Engineering, Shandong University, Jinan 250061, China; (H.Z.); (C.L.); (Y.L.); (Y.J.); (T.L.); (H.D.); (J.W.)
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Tse G, Bazoukis G, Roever L, Liu T, Wu WKK, Wong MCS, Baranchuk A, Korantzopoulos P, Asvestas D, Letsas KP. T-Wave Indices and Atherosclerosis. Curr Atheroscler Rep 2018; 20:55. [PMID: 30225618 DOI: 10.1007/s11883-018-0756-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Tpeak-Tend interval, the time difference between the peak and the end of the T-wave, reflects the degree of dispersion of repolarization. Its prolongation has been associated with higher risks of developing ventricular arrhythmias and sudden cardiac death in different pro-arrhythmic conditions such as Brugada and long QT syndromes. In this review, we will provide a comprehensive overview on how Tpeak-Tend is altered in different atherosclerotic conditions such as hypertension, stable coronary artery disease, acute coronary obstruction, and coronary slow flow as well as inflammatory diseases affecting the arterial tree. We will explore its relationship with arterial function and dysfunction, ventricular remodeling, and arrhythmic and mortality outcomes. The published literature shows that patients with coronary atherosclerosis, whether in the form of stable coronary artery disease, chronic total occlusion, slow flow, or acute coronary obstruction, have prolonged Tpeak-Tend intervals and Tpeak-Tend/QT ratios. These can be used to predict the occurrence of ventricular arrhythmias and sudden cardiac death. They also correlate with the extent and severity of arterial stenosis and structural remodeling of the ventricles as well as arterial function and dysfunction. Finally, they can be normalized following revascularization and may therefore be used as a surrogate measure of treatment success.
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Affiliation(s)
- Gary Tse
- Department of Medicine and Therapeutics, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, SAR, People's Republic of China. .,Li Ka Shing Institute of Health Sciences, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, SAR, People's Republic of China.
| | - George Bazoukis
- Department of Cardiology, Evangelismos General Hospital of Athens, Athens, Greece
| | - Leonardo Roever
- Department of Clinical Research, Federal University of Uberlândia, Uberlândia, MG, Brazil
| | - Tong Liu
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, 300211, People's Republic of China
| | - William K K Wu
- Li Ka Shing Institute of Health Sciences, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, SAR, People's Republic of China.,Department of Anaesthesia and Intensive Care, State Key Laboratory of Digestive Disease, LKS Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Martin C S Wong
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Adrian Baranchuk
- Division of Cardiology, Kingston General Hospital, Queen's University, Kingston, ON, Canada
| | | | - Dimitrios Asvestas
- Department of Cardiology, Evangelismos General Hospital of Athens, Athens, Greece
| | - Konstantinos P Letsas
- Department of Cardiology, Evangelismos General Hospital of Athens, Athens, Greece. .,Second Department of Cardiology, Laboratory of Cardiac Electrophysiology, Evangelismos General Hospital of Athens, 10676, Athens, Greece.
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Park JS, Hwang GS, Kim SM, Seo KW, Choi BJ, Choi SY, Yoon MH, Shin JH, Tahk SJ. Time Variance of Electrocardiographic Transmural Dispersion in Acute Myocardial Infarction. INTERNATIONAL JOURNAL OF ARRHYTHMIA 2016. [DOI: 10.18501/arrhythmia.2016.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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