• DocumentCode
    2116749
  • Title

    On the deconvolution analysis of electrodermal activity in bipolar patients

  • Author

    Greco, Alberto ; Lanata, Antonio ; Valenza, Gaetano ; Rota, Giuseppina ; Vanello, Nicola ; Scilingo, Enzo Pasquale

  • Author_Institution
    Dept. of Inf. Eng. & Interdept. Res. Center E. Piaggio, Univ. of Pisa, Pisa, Italy
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    6691
  • Lastpage
    6694
  • Abstract
    People affected by bipolar disorders experience alternating states of depression with episodes of mania or hypomania. This mental can lead to a poor handling of daily routines, can worsen personal relationships, and often can be life-threatening. This preliminary study aims at investigating how the autonomic nervous system, in terms of electrodermal activity, responds to specific controlled emotional stimuli in bipolar patients. More specifically, we present here a method to deploy the analysis of ElectroDermal Activity (EDA) to discriminate clinical mood states. EDA was analyzed by using a deconvolution method to separate tonic from phasic components. The three subjects recruited and the experimental protocol used here is part of the European project PSYCHE. Preliminary results show that the bipolar mood states can be related to electrodermal tonic activity.
  • Keywords
    bioelectric phenomena; feature extraction; medical disorders; medical signal processing; neurophysiology; skin; statistical analysis; EDA; PSYCHE; autonomic nervous system; bipolar disorders; deconvolution analysis; depression; electrodermal tonic activity; emotional stimuli; feature extraction; hypomania; mania; statistical analysis; Deconvolution; Europe; Feature extraction; Mood; Protocols; Skin; Thyristors; Affect; Algorithms; Area Under Curve; Bipolar Disorder; Depression; Electric Conductivity; Electrophysiology; Europe; Humans; Models, Statistical; Regression Analysis; Skin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6347529
  • Filename
    6347529