Wearable Device for Measuring EDA in Constant Alternating Current

This article introduces a novel wearable device, the multisensor wearable wristband (MsW<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>), designed to measure electrodermal activity (EDA) and skin temperature using constant ac current instead of the usual constant ac voltage measurement method. Adapted from a previous headband model, MsW<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> has been optimized for wrist-based applications. Its efficacy was validated through experiments with 25 participants, comparing its EDA measurements with the Empatica E4 device. The results demonstrated high coherence between the two systems. Additionally, a simplified skin impedance model was proposed and validated, providing a reliable means of analyzing EDA data. The wearable demonstrates significant potential for applications in emotion detection, health monitoring, and more.

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Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2025-03-18
DOI
https://doi.org/10.1109/jsen.2025.3549513
Citations
2
Primary Topic
Non-Destructive Testing Techniques
Type
article
Field-Weighted Citation Impact
1.43

Funders

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article

Wearable Device for Measuring EDA in Constant Alternating Current

Jesús Ponce de León, David Asiain, José Ramón Beltrán
2 citations
IEEE Sensors Journal
Non-Destructive Testing Techniques
1.43
article

Wearable Device for Measuring EDA in Constant Alternating Current

Jesús Ponce de León, David Asiain, José Ramón Beltrán
article en
2 citations

Abstract

This article introduces a novel wearable device, the multisensor wearable wristband (MsW<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>), designed to measure electrodermal activity (EDA) and skin temperature using constant ac current instead of the usual constant ac voltage measurement method. Adapted from a previous headband model, MsW<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> has been optimized for wrist-based applications. Its efficacy was validated through experiments with 25 participants, comparing its EDA measurements with the Empatica E4 device. The results demonstrated high coherence between the two systems. Additionally, a simplified skin impedance model was proposed and validated, providing a reliable means of analyzing EDA data. The wearable demonstrates significant potential for applications in emotion detection, health monitoring, and more.

IEEE Sensors JournalVol. 25(9)
Universidad de Zaragoza (ES), Instituto de Nanociencia y Materiales de Aragón (ES)
European Commission, Agencia Estatal de Investigación, Departamento de Educación, Cultura y Deporte, Gobierno de Aragón
Affordable and clean energy
Openalex Percentile: Top 22%
Non-Destructive Testing Techniques
1.43
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