Separating individual skin conductance responses in a short interstimulus-interval paradigm.
- Publication Type:
- Journal Article
- Citation:
- J Neurosci Methods, 2005, 146 (1), pp. 116 - 123
- Issue Date:
- 2005-07-15
Closed Access
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![]() | 2005000882.pdf | 703.26 kB | Adobe PDF |
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Alexander, DM | en_US |
dc.contributor.author | Trengove, C | en_US |
dc.contributor.author | Johnston, P | en_US |
dc.contributor.author | Cooper, T | en_US |
dc.contributor.author | August, JP | en_US |
dc.contributor.author | Gordon, E | en_US |
dc.date.available | 2005-02-01 | en_US |
dc.date.issued | 2005-07-15 | en_US |
dc.identifier.citation | J Neurosci Methods, 2005, 146 (1), pp. 116 - 123 | en_US |
dc.identifier.issn | 0165-0270 | en_US |
dc.identifier.uri | http://hdl.handle.net/10453/4525 | |
dc.description.abstract | We describe a new method for measuring skin conductance responses, designed to overcome the problem of overlapping skin conductance responses. The method relies on the assumptions that the underlying sudomotor nerve signal has a shorter time-constant than the skin conductance signal itself, and that the sudomotor bursts arrive as discrete, separated events. By converting the skin conductance signal into a time-series with a shorter time-constant, we are able to extract the separated peaks in the estimated underlying driver signal. The separated driver peaks are then used to re-estimate each individual skin conductance response. The method is automated and applied to a normative database of 735 subjects, for which skin conductance was measured during an auditory oddball paradigm. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | J Neurosci Methods | en_US |
dc.relation.isbasedon | 10.1016/j.jneumeth.2005.02.001 | en_US |
dc.subject.classification | Neurology & Neurosurgery | en_US |
dc.subject.mesh | Sweat Glands | en_US |
dc.subject.mesh | Skin | en_US |
dc.subject.mesh | Humans | en_US |
dc.subject.mesh | Acoustic Stimulation | en_US |
dc.subject.mesh | Reaction Time | en_US |
dc.subject.mesh | Galvanic Skin Response | en_US |
dc.subject.mesh | Electrophysiology | en_US |
dc.subject.mesh | Neurophysiology | en_US |
dc.subject.mesh | Algorithms | en_US |
dc.subject.mesh | Time Factors | en_US |
dc.subject.mesh | Signal Processing, Computer-Assisted | en_US |
dc.subject.mesh | Adolescent | en_US |
dc.subject.mesh | Adult | en_US |
dc.subject.mesh | Aged | en_US |
dc.subject.mesh | Aged, 80 and over | en_US |
dc.subject.mesh | Middle Aged | en_US |
dc.subject.mesh | Child | en_US |
dc.subject.mesh | Female | en_US |
dc.subject.mesh | Male | en_US |
dc.subject.mesh | Skin Physiological Phenomena | en_US |
dc.title | Separating individual skin conductance responses in a short interstimulus-interval paradigm. | en_US |
dc.type | Journal Article | |
utslib.citation.volume | 1 | en_US |
utslib.citation.volume | 146 | en_US |
utslib.location.activity | Netherlands | en_US |
utslib.for | 1109 Neurosciences | en_US |
utslib.for | 1701 Psychology | en_US |
utslib.for | 1702 Cognitive Sciences | en_US |
pubs.embargo.period | Not known | en_US |
pubs.organisational-group | /University of Technology Sydney | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Engineering and Information Technology | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership | |
utslib.copyright.status | closed_access | |
pubs.issue | 1 | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 146 | en_US |
Abstract:
We describe a new method for measuring skin conductance responses, designed to overcome the problem of overlapping skin conductance responses. The method relies on the assumptions that the underlying sudomotor nerve signal has a shorter time-constant than the skin conductance signal itself, and that the sudomotor bursts arrive as discrete, separated events. By converting the skin conductance signal into a time-series with a shorter time-constant, we are able to extract the separated peaks in the estimated underlying driver signal. The separated driver peaks are then used to re-estimate each individual skin conductance response. The method is automated and applied to a normative database of 735 subjects, for which skin conductance was measured during an auditory oddball paradigm.
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