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Effect of gender and diabetes on major depressive disorder using heart rate asymmetry
conference contribution
posted on 2014-01-01, 00:00 authored by Chandan KarmakarChandan Karmakar, H F Jelinek, P Warner, A H Khandoker, M PalaniswamiIn 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.
History
Event
IEEE Engineering in Medicine and Biology Society. International Conference (36th : 2014 : Chicago, Illinois)Volume
2014Pagination
6679 - 6682Publisher
IEEELocation
Chicago, IllinoisPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2014-08-26End date
2014-08-30ISSN
1557-170XISBN-13
9781424479290Language
engPublication classification
E Conference publication; E1.1 Full written paper - refereedCopyright notice
2014, IEEETitle of proceedings
EMBC 2014 : Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology SocietyUsage metrics
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