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Risk stratification of cardiac autonomic neuropathy based on multi-lag tone-entropy

Karmakar, CK, Khandoker, AH, Jelinek, HF and Palaniswami, M 2013, Risk stratification of cardiac autonomic neuropathy based on multi-lag tone-entropy, Medical & biological engineering & computing, vol. 51, no. 5, pp. 537-546, doi: 10.1007/s11517-012-1022-5.

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Title Risk stratification of cardiac autonomic neuropathy based on multi-lag tone-entropy
Author(s) Karmakar, CKORCID iD for Karmakar, CK orcid.org/0000-0003-1814-0856
Khandoker, AH
Jelinek, HF
Palaniswami, M
Journal name Medical & biological engineering & computing
Volume number 51
Issue number 5
Start page 537
End page 546
Total pages 10
Publisher Springer
Place of publication Berlin, Germany
Publication date 2013-05
ISSN 0140-0118
1741-0444
Keyword(s) Heart rate variability
Tone–entropy
Multi-lag
Cardiac autonomic neuropathy
Summary Cardiac autonomic neuropathy (CAN) is an irreversible condition affecting the autonomic nervous system, which leads to abnormal functioning of the visceral organs and affects critical body functions such as blood pressure, heart rate and kidney filtration. This study presents multi-lag Tone-Entropy (T-E) analysis of heart rate variability (HRV) at multiple lags as a screening tool for CAN. A total of 41 ECG recordings were acquired from diabetic subjects with definite CAN (CAN+) and without CAN (CAN-) and analyzed. Tone and entropy values of each patient were calculated for different beat sequence lengths (len: 50-900) and lags (m: 1-8). The CAN- group was found to have a lower mean tone value compared to that of CAN+ group for all m and len, whereas the mean entropy value was higher in CAN- than that in CAN+ group. Leave-one-out (LOO) cross-validation tests using a quadratic discriminant (QD) classifier were applied to investigate the performance of multi-lag T-E features. We obtained 100 % accuracy for tone and entropy with len = 250 and m = {2, 3} settings, which is better than the performance of T-E technique based on lag m = 1. The results demonstrate the usefulness of multi-lag T-E analysis over single lag analysis in CAN diagnosis for risk stratification and highlight the change in autonomic nervous system modulation of the heart rate associated with cardiac autonomic neuropathy.
Language eng
DOI 10.1007/s11517-012-1022-5
Field of Research 090609 Signal Processing
080109 Pattern Recognition and Data Mining
Socio Economic Objective 920203 Diagnostic Methods
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2013, International Federation for Medical and Biological Engineering
Persistent URL http://hdl.handle.net/10536/DRO/DU:30075711

Document type: Journal Article
Collection: School of Life and Environmental Sciences
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