Literature DB >> 20004128

Association of cardiac autonomic neuropathy with alteration of sympatho-vagal balance through heart rate variability analysis.

Ahsan H Khandoker1, Herbert F Jelinek, Toshio Moritani, Marimuthu Palaniswami.   

Abstract

Early sub-clinical assessment of severity of cardiac autonomic neuropathy (CAN) and intervention are of prime importance for risk stratification and early treatment in preventing sudden death due to silent myocardial infarction. The Ewing battery is currently the diagnostic tool of choice but is unable to detect sub-clinical disease and requires patient cooperation. Time and frequency domain analysis have several shortcomings including sensitivity to recording length, respiratory activity and non-stationarities in the ECG signal. An important step forward is to have a non-invasive method of detecting CAN that is robust against these shortcomings and has a higher sensitivity for the presence of both sub-clinical and overt clinical disease. This study presents a novel parameter, tone-entropy (T-E) that analyses heart rate variability (HRV) of 20 min lead II ECG recordings. Tone (T) represents sympatho-vagal balance and entropy (E) the autonomic regularity activity. Thirteen normal subjects without (CAN-) and 21 with CAN (CAN+) participated in this study. Among 21 CAN+ subjects, 13 are early CAN+ (eCAN+), eight are definite CAN+ (dCAN+) according to autonomic nervous system function tests as described by Ewing. The results showed that tone was higher and the entropy was lower in the dCAN+ group (T=-0.033 to -0.010 and E=1.73-2.24) compared with the eCAN+ (T=-0.0927 to -0.0311 and E=2.0-2.65) and normal (T=-0.128 to -0.0635 and E=2.64-3.15) group. The research verified that T-E is a suitable method to determine the presence of CAN that correctly identifies experimentally induced changes in cardiac function akin to parasympathetic and sympathetic dysfunction and differentiates between stages in CAN disease progression identified using the Ewing battery. (c) 2009 IPEM. Published by Elsevier Ltd. All rights reserved.

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Year:  2009        PMID: 20004128     DOI: 10.1016/j.medengphy.2009.11.005

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  16 in total

1.  Multi-lag tone-entropy in neonatal stress.

Authors:  Matej Šapina; Chandan Kumar Karmakar; Karolina Kramarić; Matthieu Garcin; P David Adelson; Krešimir Milas; Marko Pirić; Dario Brdarić; John Yearwood
Journal:  J R Soc Interface       Date:  2018-09-19       Impact factor: 4.118

2.  Temporal dynamics of the circadian heart rate following low and high volume exercise training in sedentary male subjects.

Authors:  Herbert F Jelinek; C Karmakar; A M Kiviniemi; A J Hautala; M P Tulppo; T H Mäkikallio; H V Huikuri; A H Khandoker; M Palaniswami
Journal:  Eur J Appl Physiol       Date:  2015-05-21       Impact factor: 3.078

3.  Predicting depressed patients with suicidal ideation from ECG recordings.

Authors:  A H Khandoker; V Luthra; Y Abouallaban; S Saha; K I Ahmed; R Mostafa; N Chowdhury; H F Jelinek
Journal:  Med Biol Eng Comput       Date:  2016-08-18       Impact factor: 2.602

4.  Analyzing Systolic-Diastolic Interval Interaction Characteristics in Diabetic Cardiac Autonomic Neuropathy Progression.

Authors:  Mohammad Hasan Imam; Chandan K Karmakar; Herbert F Jelinek; Marimuthu Palaniswami; Ahsan H Khandoker
Journal:  IEEE J Transl Eng Health Med       Date:  2015-07-29       Impact factor: 3.316

5.  Sensitivity to mental effort and test-retest reliability of heart rate variability measures in healthy seniors.

Authors:  Shalini Mukherjee; Rajeev Yadav; Iris Yung; Daniel P Zajdel; Barry S Oken
Journal:  Clin Neurophysiol       Date:  2011-04-02       Impact factor: 3.708

6.  Risk stratification of cardiac autonomic neuropathy based on multi-lag Tone-Entropy.

Authors:  C K Karmakar; A H Khandoker; H F Jelinek; M Palaniswami
Journal:  Med Biol Eng Comput       Date:  2013-01-24       Impact factor: 2.602

Review 7.  Identifying Common Genetic Risk Factors of Diabetic Neuropathies.

Authors:  Ini-Isabée Witzel; Herbert F Jelinek; Kinda Khalaf; Sungmun Lee; Ahsan H Khandoker; Habiba Alsafar
Journal:  Front Endocrinol (Lausanne)       Date:  2015-05-28       Impact factor: 5.555

8.  Nonlinear methods to assess changes in heart rate variability in type 2 diabetic patients.

Authors:  Bhaskar Roy; Sobhendu Ghatak
Journal:  Arq Bras Cardiol       Date:  2013-09-06       Impact factor: 2.000

9.  Association of cardiovascular risk using non-linear heart rate variability measures with the framingham risk score in a rural population.

Authors:  Herbert F Jelinek; Hasan Md Imam; Hayder Al-Aubaidy; Ahsan H Khandoker
Journal:  Front Physiol       Date:  2013-07-26       Impact factor: 4.566

10.  Diagnostic performance analysis for diabetic cardiovascular autonomic neuropathy based on short-term heart rate variability using Bayesian methods: preliminary analysis.

Authors:  Jun Chen; Shuang-Bin Yang; Juanmei Liu; Zi-Hui Tang
Journal:  Diabetol Metab Syndr       Date:  2015-09-10       Impact factor: 3.320

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