NDLI: Measuring heart rate variability by means of information entropies based on Choi-Williams distribution

Content Provider	IEEE Xplore Digital Library
Author	Vallverdu, M. Claria, F. Melia, U. Bayes de Luna, A. Caminal, P.
Copyright Year	2015
Description	Author affiliation: Dept. IIE, Lleida Univ., Lleida, Spain (Claria, F.) \|\| Dept. ESAII, Univ. Politec. de Catalunya, Barcelona, Spain (Vallverdu, M.; Melia, U.; Caminal, P.) \|\| Catalan Inst. of Cardiovascular Sci., Barcelona, Spain (Bayes de Luna, A.)
Abstract	The Shannon entropy theory was applied to the Choi-Williams time-frequency distribution (CWD) of cardiac time series (RR series) in order to extract entropy information in both time and frequency domains. From this distribution, four indexes were defined: (1) instantaneous partial entropy; (2) spectral partial entropy; (3) instantaneous complete entropy; (4) spectral complete entropy. These indexes were used for analyzing the heart rate variability of ischemic cardiomyopathy patients (ICM) with different sudden cardiac death risk. The results have shown that the values of these indexes tend to decrease, with different proportion, when the severity of pathological condition increases. Statistical differences (p-value <; 0.0005) of these indexes were found comparing low risk and high risk of cardiac death during night and between daytime and nighttime periods of ICM patients. Finally, these indexes have demonstrated to be useful tools to quantify the different complex components of the cardiac time series.
Starting Page	1797
Ending Page	1800
File Size	892279
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7318728
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	Entropy Indexes Time-frequency analysis Heart rate variability Complexity theory
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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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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