NDLI: Identifying increased risk of post-infarct people with diabetes using multi-lag Tone-Entropy analysis

Content Provider	IEEE Xplore Digital Library
Author	Karmakar, C. Jelinek, H. Khandoker, A. Tulppo, M. Makikallio, T. Kiviniemi, A. Huikuri, H. Palaniswami, M.
Copyright Year	2012
Description	Author affiliation: Dept. of Exercise & Med. Physiol., Verve Res., Oulu, Finland (Tulppo, M.; Kiviniemi, A.) \|\| Electr. & Electron. Eng. Dept., Univ. of Melbourne, Parkville, VIC, Australia (Karmakar, C.; Palaniswami, M.) \|\| Dept. of Biomed. Eng., Khalifa Univ., Abu Dhabi, United Arab Emirates (Khandoker, A.) \|\| Dept. of Med., Univ. of Oulu, Oulu, Finland (Makikallio, T.; Huikuri, H.) \|\| Centre for Res. In Complex Syst., Charles Stuart Univ., Albury, NSW, Australia (Jelinek, H.)
Abstract	Diabetes mellitus is associated with multi-organ system dysfunction. One of the key causative factors is the increased blood sugar level that leads to an increase in free radical activity and organ damage including the cardiovascular and nervous system. Heart rhythm is extrinsically modulated by the autonomic nervous system and cardiac autonomic neuropathy or dysautonomia has been shown to lead to sudden cardiac death in people with diabetes due to the decrease in heart rate variability (HRV). Current algorithms for determining HRV describe only beat-to-beat variation and therefore do not consider the ability of a heart beat to influence a train of succeeding beats. Therefore mortality risk analysis based on HRV has often not been able to discern the presence of an increased risk. This study used a novel innovation of the tone-entropy algorithm by incorporating increased lag intervals and found that both the sympatho-vagal balance and total activity changed at larger lag intervals. Tone-Entropy was found to be better risk identifier of cardiac mortality in people with diabetes at lags higher than one and best at lag seven.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	25
Ending Page	28
File Size	620302
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6345862
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Entropy Heart rate variability Diabetes Myocardium Heart beat
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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