NDLI: Correlation between autonomous function and left ventricular performance after acute myocardial infarction

Content Provider	IEEE Xplore Digital Library
Author	Cabiddu, R. Trimer, R. Monteiro, C.I. Borghi-Silva, A. Trimer, V. Carvalho, P. Rocha, T. Paredes, S. Bianchi, A.M. Henriques, J.
Copyright Year	2015
Description	Author affiliation: Centro de Inf. e Sist., Univ. de Coimbra, Coimbra, Portugal (Carvalho, P.; Henriques, J.) \|\| Cardiopulmonary Physiotherapy Lab., Fed. Univ. of Sao Carlos, São Carlos, Brazil (Cabiddu, R.; Trimer, R.; Monteiro, C.I.; Borghi-Silva, A.; Trimer, V.) \|\| Dept. de Eng. Inf. e de Sist., Inst. Politec. de Coimbra, Coimbra, Portugal (Rocha, T.; Paredes, S.) \|\| Dipt. di Elettron., Inf. e Bioingegneria, Politec. di Milano, Milan, Italy (Bianchi, A.M.)
Abstract	Reduced ejection fraction (EF), possibly induced/mediated by autonomic abnormal activation, is one of the most powerful predictors of adverse outcome after acute myocardial infarction (MI). A deep understanding of the correlation between the autonomous functionality and the left ventricular performance in these patients is therefore of paramount importance. The autonomous function is reflected in the cardiac activity and, specifically, in the heart rate variability (HRV) signal. Given the cardiac activity nonlinearity, growing interest is being manifested towards nonlinear methods of analysis, which might provide more significant information than the traditional linear approaches. The aim of the present study was to investigate if non-linear HRV metrics change between MI patients with preserved EF (pEF) and MI patients with reduced EF (rEF). Data were acquired in the context of the cardioRisk project. Ten MI patients with rEF and six MI patients with pEF, admitted to Intensive Cardiac Care after a first acute MI episode, were studied. The ECG was acquired during a Holter recording and the tachogram was extracted. Sample entropy (SE) and Lempel-Ziv Complexity (LZC 1 and LZC 2) metrics were computed on five hour long tachogram portions. A significant correlation was found between LZC indices and EF in the whole population; SE, LZC 1 and LZC 2 were significantly higher in patients with pEF. Our results indicate that lower complexity characterizes the HRV of MI patients with rEF. Complexity reduction might be due to a simplification of regulatory mechanisms, which might explain why MI patients with rEF are at higher risk for subsequent non-fatal and fatal events.
Starting Page	3343
Ending Page	3346
File Size	705561
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7319108
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart rate variability Complexity theory Myocardium Correlation Pathology Electrocardiography
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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