The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Decomposition of skin conductance data by means of nonnegative deconvolution
Open accessAbstract
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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Publication Recommendations for Electrodermal Measurements
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Publication recommendations for electrodermal measurements
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Innovations in Electrodermal Activity Data Collection and Signal Processing: A Systematic Review
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Development and Evaluation of an Ambulatory Stress Monitor Based on Wearable Sensors
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Metadata
- Authors
- Benedek, M., & Kaernbach, C.
- Venue
- Psychophysiology
- Publisher
- Wiley
- Published
- 2010-03
- Volume
- 47
- Issue
- 4
- Pages
- 647-58
- ISSN
- 0048-5772 (ISSN-L)
- 1469-8986
- OpenAlex
- W2144408839
- Cited by
- 587
- References
- 36
- FWCI
- 11.45
- Type
- journal article
- Language
- en
- Open access
- bronze
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