DocumentCode :
561939
Title :
Complex Correlation Measure as a sensitive indicator of risk for sudden cardiac death in patients with depression
Author :
Jelinek, Herbert F. ; Khandoker, Ahsan H. ; Quintana, DS ; Imam, Md Hasan ; Kemp, AH
Author_Institution :
Charles Sturt Univ., Albury, NSW, Australia
fYear :
2011
fDate :
18-21 Sept. 2011
Firstpage :
809
Lastpage :
812
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.
Keywords :
electrocardiography; medical disorders; CCM; ECG recordings; HRV dynamics; complex correlation measure; heart rate variability; major depressive disorder; nonlinear parameter; oscillations; parasympathetic function; parasympathetic input; sudden cardiac death; Atmospheric measurements; Correlation; Educational institutions; Heart rate variability; Interviews; Particle measurements; Physiology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing in Cardiology, 2011
Conference_Location :
Hangzhou
ISSN :
0276-6547
Print_ISBN :
978-1-4577-0612-7
Type :
conf
Filename :
6164689
Link To Document :
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