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A continuous measure of phasic electrodermal activity
Open accessAbstract
Electrodermal activity is characterized by the superposition of what appear to be single distinct skin conductance responses (SCRs). Classic trough-to-peak analysis of these responses is impeded by their apparent superposition. A deconvolution approach is proposed, which separates SC data into continuous signals of tonic and phasic activity. The resulting phasic activity shows a zero baseline, and overlapping SCRs are represented by predominantly distinct, compact impulses showing an average duration of less than 2 s. A time integration of the continuous measure of phasic activity is proposed as a straightforward indicator of event-related sympathetic activity. The quality and benefit of the proposed measure is demonstrated in an experiment with short interstimulus intervals as well as by means of a simulation study. The advances compared to previous decomposition methods are discussed.
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Cites
Boucsein, W. (1992) · doi:10.1007/978-1-4757-5093-5 · Cited by 818
Integrative Action of the Autonomic Nervous System: Neurobiology of Homeostasis
Jänig, W. (2006) · doi:10.1017/cbo9780511541667 · Cited by 409
Cited by
Lonsdorf, T. B., Menz, M. M., Andreatta, M., Fullana, M. A., Golkar, A., Haaker, J., Heitland, I., Hermann, A., Kuhn, M., Kruse, O., et al. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.02.026 · Cited by 837
Emotion Recognition from Physiological Signal Analysis: A Review
Egger, M., Ley, M., & Hanke, S. (2019) · Electronic Notes in Theoretical Computer Science · doi:10.1016/j.entcs.2019.04.009 · Cited by 561
Innovations in Electrodermal Activity Data Collection and Signal Processing: A Systematic Review
Posada-Quintero, H. F., & Chon, K. H. (2020) · Sensors · doi:10.3390/s20020479 · Cited by 525
Higuera-Trujillo, J. L., López-Tarruella Maldonado, J., & Llinares Millán, C. (2017) · Applied Ergonomics · doi:10.1016/j.apergo.2017.05.006 · Cited by 299
Feature Extraction and Selection for Emotion Recognition from Electrodermal Activity
Shukla, J., Barreda-Angeles, M., Oliver, J., Nandi, G. C., & Puig, D. (2021) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2019.2901673 · Cited by 253
Metadata
- Authors
- Benedek, M., & Kaernbach, C.
- Venue
- Journal of Neuroscience Methods
- Publisher
- Elsevier BV
- Published
- 2010-06
- Volume
- 190
- Issue
- 1
- Pages
- 80-91
- ISSN
- 0165-0270 (ISSN-L)
- OpenAlex
- W2120339204
- Cited by
- 1,671
- References
- 2
- FWCI
- 11.24
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Benedek, M., & Kaernbach, C. (2010). A continuous measure of phasic electrodermal activity. Journal of Neuroscience Methods. https://doi.org/10.1016/j.jneumeth.2010.04.028
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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