Electrodermal Signal Processing is a computational methodology that transforms raw electrodermal activity data into meaningful physiological indicators by applying signal filtering, artifact removal, feature extraction, and segmentation techniques specific to the electrodermal response characteristic of autonomic nervous system activity.
174
Publications
8.7K
Citations
533
Authors
214
Institutions
Publications per year
2017–2026
63
Parents
Publications
174
Psychophysiology: the mind-body perspective
Choice Reviews Online · 1996 · 311 citations
Nursing, Neuroscience, Psychology +17
Automatic identification of artifacts in electrodermal activity data
Sara Taylor, Natasha Jaques, Weixuan Chen et al. · 2015 · 265 citations · Full text
1–5 of 174
Authors
533
- HF
9
h-index
- JJ
8
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- KH
6
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- AG
6
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- GB
6
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1–5 of 533
Institutions
214
University of Connecticut
Storrs, United States
10 h-index
30 publications
1.2K citations
University of Toronto
Toronto, Canada
8 h-index
18 publications
875 citations
University of Pisa
Pisa, Italy
6 h-index
27 publications
3.2K citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
21 publications
2.6K citations
University of Udine
Udine, Italy
5 h-index
21 publications
917 citations
Indian Institute of Technology Madras
Chennai, India
5 h-index
14 publications
549 citations
Hebrew University of Jerusalem
Jerusalem, Israel
5 h-index
7 publications
585 citations
Northeastern University
Boston, United States
4 h-index
15 publications
676 citations
1–8 of 214
Venues
- International Journal of Psychophysiology
12 publications · 418 citations
12
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- Psychophysiology
12 publications · 439 citations
11
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- Sensors
7 publications · 357 citations
7
h-index
- Journal of Applied Psychology
6 publications · 276 citations
6
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- Journal of Experimental Psychology
6 publications · 267 citations
6
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1–5