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      Decomposition of skin conductance data by means of nonnegative deconvolution

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          Abstract

          Skin conductance (SC) data are usually characterized by a sequence of overlapping phasic skin conductance responses (SCRs) overlying a tonic component. The variability of SCR shapes hereby complicates the proper decomposition of SC data. A method is proposed for full decomposition of SC data into tonic and phasic components. A two-compartment diffusion model was found to adequately describe a standard SCR shape based on the process of sweat diffusion. Nonnegative deconvolution is used to decompose SC data into discrete compact responses and at the same time assess deviations from the standard SCR shape, which could be ascribed to the additional process of pore opening. Based on the result of single non-overlapped SCRs, response parameters can be estimated precisely as shown in a paradigm with varying inter-stimulus intervals.

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          Electrodermal Activity

          Wolfram Boucsein (2012)
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            Committee report. Publication recommendations for electrodermal measurements.

            D C Fowles, M J Christie, R Edelberg … (1981)
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              Decomposing skin conductance into tonic and phasic components.

              Chong Lim, Chris Rennie, Robert Barry … (1997)
              Overlapping phasic skin conductance responses (SCRs) obtained using short interstimulus interval (ISI) paradigms such as those employed in cognitive research, confound measurement of each discrete phasic SCR as well as the tonic skin conductance level (SCL). We report a method of resolving this problem using a modelling technique that takes advantage of the stereotyped nature of the within-subject SCR waveform. A four-parameter sigmoid-exponential SCR model that describes the entire response, was developed and extended to five-, six- and eight-parameter skin conductance (SC) models. These SC models were successfully curve-fitted to more than 60 SC segments, each containing one SCR or two overlapping SCRs on a sloping baseline obtained from 20 normal subjects. The SC segments were consequently decomposed into their components: the tail of the previous response, one or two SCRs and the SCL. The SCRs free of the complication of overlap were then quantified. The raw SCRs of the same data set were also measured using a standard method. The standard measurement showed a significant reduction of 15% in amplitude and 140 ms in peak latency compared to our method. The basic four SCR model parameters--onset time, rise time, decay time constant and gain--showed increasing inter-subject variability in that order. These SCR model parameters may be studied as variables in normal and patient groups and as indices of treatment response. This quantitative method also provides a means to assess the relationships between central and autonomic psychophysiologic measures.
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                Author and article information

                Journal
                Journal ID (nlm-ta): Psychophysiology
                Journal ID (publisher-id): psyp
                Title: Psychophysiology
                Publisher: Blackwell Publishing Inc
                ISSN (Print): 0048-5772
                ISSN (Electronic): 1540-5958
                Publication date (Print): July 2010
                Volume: 47
                Issue: 4
                Pages: 647-658
                Affiliations
                [a ]simpleInstitut für Psychologie, Christian-Albrechts-Universität zu Kiel Kiel, Germany
                [b ]simpleInstitut für Psychologie, Karl-Franzens-Universität Graz Graz, Austria
                Author notes

                This publication was supported by the research grant P19276 of the Austrian Science Fund (FWF). We are grateful to Susanne Gildehaus and Annika Pein for their help in the collection and preprocessing of data.

                Address reprint requests to: Mathias Benedek, Institut für Psychologie, Karl-Franzens-Universität Graz, Maiffredygasse 12b, 8010 Graz, Austria. E-mail: mathias.benedek@ 123456uni-graz.at

                Re-use of this article is permitted in accordance with Terms and Conditions set out at http://www3.interscience.wiley.com/authorresources/onlineopen.html

                Article
                DOI: 10.1111/j.1469-8986.2009.00972.x
                PMC ID: 2904901
                PubMed ID: 20230512
                SO-VID: f9939044-ae6b-4715-bec0-20963c29b3aa
                Copyright © Copyright © 2010 by the Society for Psychophysiological Research
                License:

                Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.

                History
                Date received : 19 June 2009
                Date accepted : 04 August 2009
                Categories
                Subject: Original Articles

                ScienceOpen disciplines: Neurology
                Keywords: electrodermal activity,decomposition,deconvolution,eda,skin conductance,scr
                Data availability:
                ScienceOpen disciplines: Neurology
                Keywords: electrodermal activity, decomposition, deconvolution, eda, skin conductance, scr

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