Complex correlation measure as a sensitive indicator of risk for sudden cardiac death in patients with depression

Herbert F. Jelinek, Ahsan H. Khandoker, D. S. Quintana, Md Hasan Imam, A. H. Kemp

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

Heart rate variability (HRV) is reduced in patients with Major Depressive Disorder (MDD). We examined the sensitivity of a new nonlinear parameter, the Complex Correlation Measure (CCM) in patients with depression. Two-minute ECG recordings at rest with eyes-closed were analyzed. CCM was higher (0.36±0.1) in control participants compared to MDD (0.29±0.1), indicating a decrease in temporal variability associated with decreased parasympathetic function (Cohen's d = 0.7, p=0.0008). CCM also demonstrated a larger effect size than SD1 (Cohen's d = 0.5, p =0.0005) and SD2 (Cohen's d = 0.2, p = 0.015). These results highlight that depressed patients display a dampening of oscillations between parasympathetic and sympathetic input indicative of reduced functionality and increased risk of sudden cardiac death. CCM is a more sensitive measure of HRV, which provides additional information on HRV dynamics compared to SD1 and SD2 of the Poincaré plot distribution.

Original languageBritish English
Title of host publicationComputing in Cardiology 2011, CinC 2011
Pages809-812
Number of pages4
StatePublished - 2011
EventComputing in Cardiology 2011, CinC 2011 - Hangzhou, China
Duration: 18 Sep 201121 Sep 2011

Publication series

NameComputing in Cardiology
Volume38
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Conference

ConferenceComputing in Cardiology 2011, CinC 2011
Country/TerritoryChina
CityHangzhou
Period18/09/1121/09/11

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