• DocumentCode
    3072332
  • 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
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    2653
  • Lastpage
    2656
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4649747
  • Filename
    4649747