Residual heart rate variability measures can better differentiate patients with acute myocardial infarction from patients with patent coronary artery
Received 29 June 2018
Accepted for publication 20 August 2018
Published 8 October 2018 Volume 2018:14 Pages 1923—1931
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 3
Editor who approved publication: Professor Deyun Wang
Jiunn-Song Jiang,1,2 Chew-Teng Kor,3 David Dar Kuo,4 Ching-Hsiung Lin,5,6 Chia-Chu Chang,7,8 Gau-Yang Chen,9,10 Cheng-Deng Kuo5,11
1Department of Internal Medicine, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan; 2Departments of Internal Medicine, Taipei Medical University School of Medicine, Taipei, Taiwan; 3Internal Medicine Research Center, Department of Research, Changhua Christian Hospital, Changhua, Taiwan; 4Architecture, Industrial Design Engineering, & Manufacturing Department, Mount San Antonio College, Walnut, CA, USA; 5Division of Chest Medicine, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan; 6Department of Respiratory Care, College of Health Sciences, Chang Jung Christian University, Tainan, Taiwan; 7Division of Nephrology, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan; 8Departmet of Internal Medicine, Chung-Shan Medical University School of Medicine, Taichung, Taiwan; 9Department of Biomedical Engineering, National Yang-Ming University, Taipei, Taiwan; 10Department of Internal Medicine, Ten-Chen General Hospital, Yangmei, Tao-Yuan, Taiwan; 11Laboratory of Biophysics, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan
Purpose: It has been shown that the power spectral density (PSD) of heart rate variability (HRV) can be decomposed into a power-law function and a residual PSD (rPSD) with a more prominent high-frequency component than that in traditional PSD. This study investigated whether the residual HRV (rHRV) measures can better discriminate patients with acute myocardial infarction (AMI) from patients with patent coronary artery (PCA) than traditional HRV measures.
Materials and methods: The rHRV and HRV measures of 48 patients with AMI and 69 patients with PCA were compared.
Results: The high-frequency power of rHRV spectrum was significantly enhanced while the low-frequency and very low-frequency powers of rHRV spectrum were significantly suppressed, as compared to their corresponding traditional HRV spectrum in both groups of patients. The normalized residual high-frequency power (nrHFP = residual high-frequency power/residual total power) was significantly greater than the corresponding normalized high-frequency power in both groups of patients. Between-groups comparison showed that the nrHFP in AMI patients was significantly smaller than that in PCA patients. Receiver operating characteristic curve analysis showed that the nrHFP or nrHFP + normalized residual very low-frequency power (residual very low-frequency power/rTP) had better discrimination capability than the corresponding HRV measures for predicting AMI.
Conclusions: Compared with traditional HRV measures, the rHRV measures can slightly better differentiate AMI patients from PCA patients, especially the nrHFP or nrHFP + normalized residual very low-frequency power.
Keywords: heart rate variability, fractal, residual power spectrum, power-law function, acute myocardial infarction
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