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

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

University of Melbourne

Research output: Book chapter/Published conference paper › Conference paper › peer-review

5 Citations (Scopus)

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	English
Title of host publication	Proceedings of the 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Place of Publication	United States
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	6679-6682
Number of pages	4
DOIs	https://doi.org/10.1109/EMBC.2014.6945160
Publication status	Published - 2014
Event	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Sheraton Hotel & Towers, Chicago, United States Duration: 26 Aug 2014 → 30 Aug 2014 https://web.archive.org/web/20140621102347/http://embc.embs.org/2014/ (Archived page)

Conference

Conference	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Abbreviated title	Discovering, Innovating, and Engineering Future Biomedicine
Country/Territory	United States
City	Chicago
Period	26/08/14 → 30/08/14
Internet address	https://web.archive.org/web/20140621102347/http://embc.embs.org/2014/ (Archived page)

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10.1109/EMBC.2014.6945160

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

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title = "Effect of gender and diabetes on major depressive disorder using heart rate asymmetry",

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.",

author = "Karmakar, {Chandan K} and Herbert Jelinek and Paul Warner and Khandoker, {Ahsan H} and Marimuthu Palaniswami",

year = "2014",

doi = "10.1109/EMBC.2014.6945160",

language = "English",

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booktitle = "Proceedings of the 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

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note = "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Discovering, Innovating, and Engineering Future Biomedicine ; Conference date: 26-08-2014 Through 30-08-2014",

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Karmakar, CK, Jelinek, H, Warner, P, Khandoker, AH & Palaniswami, M 2014, Effect of gender and diabetes on major depressive disorder using heart rate asymmetry. in Proceedings of the 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 6679-6682, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, Illinois, 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; Warner, Paul et al.
Proceedings of the 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. United States: IEEE, Institute of Electrical and Electronics Engineers, 2014. p. 6679-6682.

Research output: Book chapter/Published conference paper › Conference paper › peer-review

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AU - Jelinek, Herbert

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AU - Khandoker, Ahsan H

AU - Palaniswami, Marimuthu

PY - 2014

Y1 - 2014

N2 - 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.

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

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

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