Literature DB >> 30950524

Obimon: An open-source device enabling group measurement of electrodermal activity.

Krisztian Kasos1,2, Szabolcs Zimonyi2, Bianka Gonye1,2, Ferenc Köteles3, Eniko Kasos1,2, Eszter Kotyuk2, Katalin Varga2, Andras Veres4, Anna Szekely2.   

Abstract

Electrodermal activity (EDA) provides the means to gauge the activity of the sympathetic nervous system. Assessment of EDA for research purposes requires measurement systems that are sensitive to small changes in arousal in the full measurement range, collecting, storing, and monitoring data. The objective behind designing a new open-source device was to be able to measure EDA simultaneously on many subjects, monitoring their activity in real time remotely and collecting high precision data suitable for analyses. To assure feasibility of simultaneous measurements on multiple subjects, the devices must be compact and wearable, without compromising data quality. Experiments were carried out using synchronized devices in group and single subject environments. Validity of EDA measurements of Obimon was demonstrated compared to a reference system (Nexus) during a breathing exercise, a short movie, and while exposed to loud computer-generated tones, using Pearson correlation, Passing-Bablok regression, and Bland-Altman analysis. Seamless management of several Obimons and real-time visualization of EDA via Android phone/tablet application from a large number of participants was demonstrated. Based on analyses of the data collected, we conclude that the Obimon device presented here is a valid and feasible tool for collecting EDA in single or multisubject environments.
© 2019 The Authors Psychophysiology published by Wiley Periodicals, Inc. on behalf of Society for Psychophysiological Research.

Entities:  

Keywords:  arousal; electrodermal; group measurement; skin conductance; wireless

Mesh:

Year:  2019        PMID: 30950524     DOI: 10.1111/psyp.13374

Source DB:  PubMed          Journal:  Psychophysiology        ISSN: 0048-5772            Impact factor:   4.016


  2 in total

1.  Framework for selecting and benchmarking mobile devices in psychophysiological research.

Authors:  Ian R Kleckner; Mallory J Feldman; Matthew S Goodwin; Karen S Quigley
Journal:  Behav Res Methods       Date:  2021-04

2.  Wireless Sensors System for Stress Detection by Means of ECG and EDA Acquisition.

Authors:  Antonio Affanni
Journal:  Sensors (Basel)       Date:  2020-04-04       Impact factor: 3.576

  2 in total

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