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21 - Electrodermal Activity: Applications and Challenges

from Part V - Physiological Measures

Published online by Cambridge University Press:  12 December 2024

By
Md-Billal Hossain ,
Youngsun Kong ,
Hugo F. Posada-Quintero  and
Ki H. Chon
Edited by
John E. Edlund  and
Austin Lee Nichols
John E. Edlund
Affiliation:
Rochester Institute of Technology, New York
Austin Lee Nichols
Affiliation:
Central European University, Vienna
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Summary

Electrodermal activity (EDA) is a conductance measure that can be used to assess the sympathetic nervous system arousal and for the diagnosis of stress, pain, sleepiness, seizure prediction, neuropathies, depression, and other states. EDA has potential for ambulatory research applications, as it can be collected using wearable devices, but motion artifacts are an issue. While EDA was discovered in 1879 by Vigouroux, the signal was traditionally observed in most of the studies as the mean value of the signal in response to a given stimulus, which provides static information but does not account for time-varying dynamics of the signal. The new technologies for EDA collection and the development of novel and robust signal processing algorithms have increased the interest in EDA for many new and emerging fields, including affective computing, seizure prediction, and pain monitoring. We aim to summarize the characteristics of EDA, describe current and future applications, and outline challenges when using EDA.

Type
Chapter
Information
The Cambridge Handbook of Research Methods and Statistics for the Social and Behavioral Sciences
Volume 2: Performing Research
 , pp. 475 - 496
Publisher: Cambridge University Press
Print publication year: 2024

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