Effect of gender and diabetes on major depressive disorder using heart rate asymmetry

Chandan K. Karmakar; Herbert F. Jelinek; Paul Warner; Ahsan H. Khandoker; Marimuthu Palaniswami

doi:10.1109/EMBC.2014.6945160

Effect of gender and diabetes on major depressive disorder using heart rate asymmetry

Chandan K. Karmakar
, Herbert F. Jelinek
, Paul Warner
, Ahsan H. Khandoker
, Marimuthu Palaniswami

Biomedical Engineering & Biotechnology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

In this study, we have investigated how heart rate asymmetry (HRA) changes in major depressive disorder (MDD) subjects with comorbid diabetes as well as in male and female. Depression score was determined based on PHQ-9 questionnaire and from 135 subjects 70 subjects were selected with 1000 or more RR intervals. Heart rate asymmetry is a Poincaré plot based nonlinear technique to analyze the asymmetry using RR interval time-series signal. Three commonly used HRA indices Guzik's index (GI), Porta's index (PI) and Ehlers' index (EI) were used to understand the changes in HRA in MDD. Results indicate significantly (p<0.05) different GI and EI values between 'Dep' and 'NonDep' subgroups in 'Combined' group. All three HRA indices are found significantly different in presence of depression in female subjects. These results provide better understanding about changes in HRA in MDD and HRA indices could be a plausible nonlinear HRV feature for differentiating Depression 'Dep' from NonDepression 'NonDep' group - i) without comorbid diabetes; ii) in Female subjects.

Original language	British English
Title of host publication	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	6679-6682
Number of pages	4
ISBN (Electronic)	9781424479290
DOIs	https://doi.org/10.1109/EMBC.2014.6945160
State	Published - 2 Nov 2014
Event	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States Duration: 26 Aug 2014 → 30 Aug 2014

Publication series

Name	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Conference

Conference	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Country/Territory	United States
City	Chicago
Period	26/08/14 → 30/08/14

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1109/EMBC.2014.6945160

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Karmakar, C. K., Jelinek, H. F., Warner, P., Khandoker, A. H., & Palaniswami, M. (2014). Effect of gender and diabetes on major depressive disorder using heart rate asymmetry. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 (pp. 6679-6682). Article 6945160 (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2014.6945160

Karmakar, Chandan K. ; Jelinek, Herbert F. ; Warner, Paul et al. / Effect of gender and diabetes on major depressive disorder using heart rate asymmetry. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 6679-6682 (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014).

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abstract = "In this study, we have investigated how heart rate asymmetry (HRA) changes in major depressive disorder (MDD) subjects with comorbid diabetes as well as in male and female. Depression score was determined based on PHQ-9 questionnaire and from 135 subjects 70 subjects were selected with 1000 or more RR intervals. Heart rate asymmetry is a Poincar{\'e} plot based nonlinear technique to analyze the asymmetry using RR interval time-series signal. Three commonly used HRA indices Guzik's index (GI), Porta's index (PI) and Ehlers' index (EI) were used to understand the changes in HRA in MDD. Results indicate significantly (p<0.05) different GI and EI values between 'Dep' and 'NonDep' subgroups in 'Combined' group. All three HRA indices are found significantly different in presence of depression in female subjects. These results provide better understanding about changes in HRA in MDD and HRA indices could be a plausible nonlinear HRV feature for differentiating Depression 'Dep' from NonDepression 'NonDep' group - i) without comorbid diabetes; ii) in Female subjects.",

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Karmakar, CK, Jelinek, HF, Warner, P, Khandoker, AH & Palaniswami, M 2014, Effect of gender and diabetes on major depressive disorder using heart rate asymmetry. in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014., 6945160, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Institute of Electrical and Electronics Engineers Inc., pp. 6679-6682, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Chicago, United States, 26/08/14. https://doi.org/10.1109/EMBC.2014.6945160

Effect of gender and diabetes on major depressive disorder using heart rate asymmetry. / Karmakar, Chandan K.; Jelinek, Herbert F.; Warner, Paul et al.
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 6679-6682 6945160 (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In this study, we have investigated how heart rate asymmetry (HRA) changes in major depressive disorder (MDD) subjects with comorbid diabetes as well as in male and female. Depression score was determined based on PHQ-9 questionnaire and from 135 subjects 70 subjects were selected with 1000 or more RR intervals. Heart rate asymmetry is a Poincaré plot based nonlinear technique to analyze the asymmetry using RR interval time-series signal. Three commonly used HRA indices Guzik's index (GI), Porta's index (PI) and Ehlers' index (EI) were used to understand the changes in HRA in MDD. Results indicate significantly (p<0.05) different GI and EI values between 'Dep' and 'NonDep' subgroups in 'Combined' group. All three HRA indices are found significantly different in presence of depression in female subjects. These results provide better understanding about changes in HRA in MDD and HRA indices could be a plausible nonlinear HRV feature for differentiating Depression 'Dep' from NonDepression 'NonDep' group - i) without comorbid diabetes; ii) in Female subjects.

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Karmakar CK, Jelinek HF, Warner P, Khandoker AH, Palaniswami M. Effect of gender and diabetes on major depressive disorder using heart rate asymmetry. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 6679-6682. 6945160. (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014). doi: 10.1109/EMBC.2014.6945160

Effect of gender and diabetes on major depressive disorder using heart rate asymmetry

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