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. 2020 Jun;46(2):177-188.
doi: 10.1007/s10867-020-09547-4. Epub 2020 May 22.

Simultaneous measurement of electrodermal activity components correlated with age-related differences

Dindar S Bari  1 , Haval Y Yacoob Aldosky  2 , Ørjan G Martinsen  3   4
Affiliations

Simultaneous measurement of electrodermal activity components correlated with age-related differences

Dindar S Bari et al. J Biol Phys. 2020 Jun.

Abstract

Electrodermal activity (EDA) measurements are influenced by various factors. Age-related psychological and physiological changes may be considered as one of the possible factors which may influence EDA measurements. In order to properly investigate the effects of such factors on EDA, techniques of precisely and simultaneously recording more than one EDA parameter are recommended. This study aims to explore the impact of age-related differences on EDA components through employing a new measuring technique, which is composed of a small front-end electronic box, DAQ card, and a laptop running LabVIEW software. It is dependent on the simultaneous recording of three EDA parameters: skin conductance (SC), skin potential (SP), and skin susceptance (SS) at the same skin site. EDA components as results of breathing, mathematical tasks, and image stimuli were recorded from 60 healthy participants simultaneously at the same skin site. They were categorized by age into young adults (ages 18-25), middle-aged adults (ages 30-40), and old adults (ages 50-70) years. It was found that skin potential responses (SPRs), and skin conductance level (SCL) (p < 0.001), were significantly decreased due to aging, but changes in other EDA parameters were nonsignificant (p > 0.05). Moreover, both tonic and phasic SS were the least affected and found to be more robust than SC and SP with respect to aging. The study suggests that it is important to take age into account in research studies where the mean aim of the study is to compare EDA parameters; however, in the meantime, the results from our small number and specific study population cannot be generalized to clinical applications.

Keywords: Age; Electrodermal activity; Skin conductance; Skin potential; Skin susceptance; Stimuli.

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Conflict of interest statement

The authors declare that they have no conflict of interest.

Figures

Fig. 1
Fig. 1
Box plot with medians, quartiles, and the minimum and maximum as whiskers shows amplitude of skin conductance responses for the three age groups with respect to breath, math, and image stimuli
Fig. 2
Fig. 2
Box plot with medians, quartiles, and the minimum and maximum as whiskers shows the amplitude of skin potential responses for the three age groups with respect to breath, math, and image stimuli
Fig. 3
Fig. 3
Box plot with medians, quartiles, and the minimum and maximum as whiskers shows the amplitude of skin susceptance responses for the three age groups with respect to breath, math, and image stimuli
Fig. 4
Fig. 4
Box plot with medians, quartiles, and the minimum and maximum as whiskers, showing a decrease in the median value of a skin conductance level, b skin potential level, and c skin susceptance level according to age
Fig. 5
Fig. 5
Box plot with medians, quartiles, and the min and max as whiskers, showing the SPRET percentage for the three age groups with respect to breath, math, and image stimuli
Fig. 6
Fig. 6
Box plot with medians, quartiles, and the min and max as whiskers, showing the rise time of skin conductance responses for the three age groups as with respect to breath, math, and image stimuli
See this image and copyright information in PMC

References

    1. Dawson, M.E., Schel, A.M., Filion, D.L.: The electrodermal system. In: Cacioppo, J., Tassinary, L.G., and Bernston, G.G. (eds.) Handbook of Psychophysiology, pp. 200–223. Cambridge University Press, New York (2007)
    1. Tronstad C, Kalvøy H, Grimnes S, Martinsen ØG. Improved estimation of sweating based on electrical properties of skin. Ann. Biomed. Eng. 2013;41:1074–1083. doi: 10.1007/s10439-013-0743-4. - DOI - PubMed
    1. Boucsein W. Electrodermal Activity. New York: Plenum Press; 2012.
    1. Grimnes S, Martinsen ØG. Bioimpedance and Bioelectricity Basics. Oxford: Academic Press; 2015.
    1. Greco A, Valenza G, Scilingo EP. Advances in Electrodermal Activity Processing with Applications for Mental Health – From Heuristic Methods to Convex Optimization. Berlin: Springer; 2016.