Evidence map›Paper›PMID 34205302›Full record

ArticleSensors (Basel, Switzerland)2021

Correlation Analysis of Different Measurement Places of Galvanic Skin Response in Test Groups Facing Pleasant and Unpleasant Stimuli.

Andres Sanchez-Comas, Kåre Synnes, Diego Molina-Estren, Alexander Troncoso-Palacio, Zhoe Comas-González

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Trial
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  8. Selecting optimal wearables for measuring physiological arousal in robot-delivered mindfulness-based exercises.Advanced robotics : the international journal of the Robotics Society of Japan · 2024
    Article
  9. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Andres Sanchez-ComasDepartment of Productivity and Innovation, Universidad de la Costa, 080 002 Barranquilla, Colombia.ORCID 0000-0002-4280-8070
Kåre SynnesDepartment of Computer Science, Electrical and Space Engineering, Luleå Tekniska Universitet, 971 87 Luleå, Sweden.ORCID 0000-0003-4549-6751
Diego Molina-EstrenDepartment of Computer Science and Electronics, Universidad de la Costa, 080 002 Barranquilla, Colombia.
Alexander Troncoso-PalacioDepartment of Productivity and Innovation, Universidad de la Costa, 080 002 Barranquilla, Colombia.ORCID 0000-0001-6034-695X
Zhoe Comas-GonzálezDepartment of Computer Science and Electronics, Universidad de la Costa, 080 002 Barranquilla, Colombia.

Funding

H2020 Marie Skłodowska-Curie Actions 734355
6 · The paper itself

Abstract

The galvanic skin response (GSR; also widely known as electrodermal activity (EDA)) is a signal for stress-related studies. Given the sparsity of studies related to the GSR and the variety of devices, this study was conducted at the Human Health Activity Laboratory (H2AL) with 17 healthy subjects to determine the variability in the detection of changes in the galvanic skin response among a test group with heterogeneous respondents facing pleasant and unpleasant stimuli, correlating the GSR biosignals measured from different body sites. We experimented with the right and left wrist, left fingers, the inner side of the right foot using Shimmer3GSR and Empatica E4 sensors. The results indicated the most promising homogeneous places for measuring the GSR, namely, the left fingers and right foot. The results also suggested that due to a significantly strong correlation among the inner side of the right foot and the left fingers, as well as the moderate correlations with the right and left wrists, the foot may be a suitable place to homogenously measure a GSR signal in a test group. We also discuss some possible causes of weak and negative correlations from anomalies detected in the raw data possibly related to the sensors or the test group, which may be considered to develop robust emotion detection systems based on GRS biosignals.

Indexed as

EmotionsGalvanic Skin ResponseHumansWristcorrelationEDAelectrodermal activitygalvanic skin responseGSRphysiological signalspleasant and unpleasant stimulisensorstressvalencewearable

Identifiers

PMID34205302
PMCPMC8234095

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.