Evaluating the Impact of hydration on electrodermal activity: A Comparison between AC bioimpedance and DC skin potential metrics

Ardawan A. Youssif; Dindar S. Bari; Haval Y. Yacoob Aldosky

doi:10.2478/joeb-2026-0008

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Evaluating the Impact of hydration on electrodermal activity: A Comparison between AC bioimpedance and DC skin potential metrics

Journal of Electrical Bioimpedance

Volume 17 (2026): Issue 1 (January 2026)

By: Ardawan A. Youssif, Dindar S. Bari and Haval Y. Yacoob Aldosky

Open Access

|Jul 2026

Figures & Tables

Table 1.

Mean and effect size for the phasic EDA parameter pre- and post-hydration.

EDA parameter	Mean Pre-hydration	Mean post-hydration	% Change ofmean (Δ)	Effect Size-Cohen’s d^†	Interpretation
SCR	13.64	17.69 *	29.69	0.37	Small change
SSR	−1.31	−2.23 *	−70.2	−0.56	Medium-to-large change
SPR	−5.72	−4.39 *	−23.25	0.33	Small change

* Wilcoxon signed ranks test P < 0.05 with respect to mean pre-hydration.

† The effect sizes are small when (d = 0.2), medium (d = 0.5), and large (d = 0.8).

The box plot distribution of the mean change in phasic EDA parameter pre- and post-hydration.

Table 2.

Comparison between the mean change of phasic EDA parameters and their effect size.

Comparison	p-value	Effect Size-Cohen’s d †	95% Confidence Interval of the Difference		Interpretation
Comparison	p-value	Effect Size-Cohen’s d †	Lower	Upper	Interpretation
Δ_SSRs vs Δ_SPRs	0.001	−0.55	− 3.31726	− 1.13365	Medium-to-large change
Δ_SCRs vs Δ_SPRs	0.101	0.23	− 0.55200	6.04254	Small change
Δ_SCRs vs Δ_SSRs	0.003	0.42	1.75261	8.18885	Small-to-medium change

† The effect sizes are small when (d = 0.2), medium (d = 0.5), and large (d = 0.8)

Table 3.

Mean and Effect Size for the tonic EDA parameter pre- and post-hydration.

EDA parameter	Mean Pre-hydration	Mean post-hydration	% Change of mean (Δ)	Effect Size-Cohen’s d†	Interpretation
SCL	41.31	63.04 *	52.60	1.13	Very large change
SSL	8.22	12.54 *	52.55	1.23	Very large change
SPL	−18.31	−12.00 *	−34.46	0.84	Large change

* Wilcoxon signed ranks test P < 0.05 with respect to mean pre-hydration.

† The effect sizes are small when (d = 0.2), medium (d = 0.5), large (d = 0.8), and very large (d > 0.8).

Table 4.

Effect Size for the change of tonic EDA parameter.

Comparison	p-value	Effect Size-Cohen’s d †	95% Confidence Interval of the Difference		Interpretation
Comparison	p-value	Effect Size-Cohen’s d †	Lower	Upper	Interpretation
Δ_SCL vs Δ_SPL	0.001	+ 0.67	9.16770	21.66897	Medium
Δ_SSL vs Δ_SPL	0.157	− 0.23	−4.33798	0.36575	Small
Δ_SCL vs Δ_SSL	0.001	+ 1.00	12.64763	22.16126	Very large

† The effect sizes are small when (d = 0.2), medium (d = 0.5), and large (d = 0.8), and very large (d > 0.8).

The box plot distribution of the mean change in tonic EDA parameter pre- and post-hydration.

References

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Articles in this issue

DOI: https://doi.org/10.2478/joeb-2026-0008 | Journal eISSN: 1891-5469

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Language: English

Page range: 52 - 58

Submitted on: Jun 8, 2026

Published on: Jul 23, 2026

Published by: University of Oslo

In partnership with: Paradigm Publishing Services

Keywords:

AC and DC measurements,

Related subjects:

Bioengineering and biomedical engineering,

Biomedical electronics,

Life sciences,

Biophysics,

Medicine,

Biomedical engineering,

Physics,

Spectroscopy and metrology

© 2026 Ardawan A. Youssif, Dindar S. Bari, Haval Y. Yacoob Aldosky, published by University of Oslo
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 17 (2026): Issue 1 (January 2026)

Evaluating the Impact of hydration on electrodermal activity: A Comparison between AC bioimpedance and DC skin potential metrics

Figures & Tables

Table 1.

Fig. 1:

Table 2.

Table 3.

Table 4.

Fig. 2:

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