Title :
Linear and nonlinear analysis of autonomic regulation in depressed patients
Author :
Voss, A. ; Schulz, S. ; Koschke, M. ; Bar, K.J.
Author_Institution :
University of Applied Sciences Jena, Department of Medical Engineering and Biotechnology, Carl-Zeiss-Promenade 2, 07745, Germany
Abstract :
To investigate the effect of depression and medication on the autonomic nervous system (ANS) we compared 25 patients suffering from depression with 72 matched control subjects (CON). From every patient three times ECG and non-invasive blood pressure were recorded in: acute non-mediated state (T1), medicated state (T2) and clinical recovered state (T3). Cardiac autonomic regulation was evaluated by linear and nonlinear analysis methods. The results show that non-medicated depressed patients differ significantly from CON (p<0.05). In the medicated state considerably high significant differences between depressed patient and CON were found (p<0.0001). After an 18 months follow-up a normalization of autonomic parameters was achieved in depressed patients. These results show that depression influences autonomic parameters significantly and that medical treated clinical recovered patients approximate to healthy controls in autonomic regulation.
Keywords :
Antidepressants; Biomedical monitoring; Blood pressure; Blood pressure variability; Frequency; Heart rate variability; Medical diagnostic imaging; Medical treatment; Neural networks; Psychiatry; Adult; Autonomic Nervous System; Baroreflex; Blood Pressure; Cardiovascular System; Depressive Disorder, Major; Female; Heart Rate; Humans; Male; Middle Aged; Models, Biological; Models, Statistical; Models, Theoretical; Risk;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4649747