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
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