Cited by 693Advanced Sensor and Energy Harvesting MaterialsNon-Invasive Vital Sign MonitoringEmotion and Mood Recognition

A Wearable Sensor for Unobtrusive, Long-Term Assessment of Electrodermal Activity

Open access
Ming-Zher Poh, Swenson, Nicholas C, Picard, Rosalind W·2010·IEEE Transactions on Biomedical Engineering

Abstract

Electrodermal activity (EDA) is a sensitive index of sympathetic nervous system activity. Due to the lack of sensors that can be worn comfortably during normal daily activity and over extensive periods of time, research in this area is limited to laboratory settings or artificial clinical environments. We developed a novel, unobtrusive, nonstigmatizing, wrist-worn integrated sensor, and present, for the very first time, a demonstration of long-term, continuous assessment of EDA outside of a laboratory setting. We evaluated the performance of our device against a Food and Drug Administration (FDA) approved system for the measurement of EDA during physical, cognitive, as well as emotional stressors at both palmar and distal forearm sites, and found high correlations across all the tests. We also evaluated the choice of electrode material by comparing conductive fabric with Ag/AgCl electrodes and discuss the limitations found. An important result presented in this paper is evidence that the distal forearm is a viable alternative to the traditional palmar sites for EDA measurements. Our device offers the unprecedented ability to perform comfortable, long-term, and in situ assessment of EDA. This paper opens up opportunities for future investigations that were previously not feasible, and could have far-reaching implications for diagnosis and understanding of psychological or neurological conditions.

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Registry

Crossref · 10.1109/tbme.2009.2038487

Cites

33 of 33 references verified0 citation errors · 0 not checkable

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Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • A watch-type daily time stress monitoring device, though having good wearing comfort, is not able to perform comprehensive stress analysis by measuring only skin conductance.

    “On the other hand, though good wearing comfort, a watch type daily time stress monitoring device31 is not able to comprehensive stress analysis by measuring only skin conductance.”

    From A Flexible and Wearable Human Stress Monitoring Patch (2016) · cites this paper as [31]

  • No currently accepted gold standard exists for EDA and TEMP recordings beyond the methods employed here.

    “Especially for EDA and TEMP recordings, no currently accepted gold standard exists beyond the methods employed here79”

    From Data quality evaluation in wearable monitoring (2022) · cites this paper as [79]

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Authors
Poh, M.-Z., Swenson, N. C., & Picard, R. W.
Affiliations
  • Harvard–MIT Division of Health Sciences and Technology (US)
  • MIT Media Lab (US)
Venue
IEEE Transactions on Biomedical Engineering
Published
2010-05
Volume
57
Issue
5
Pages
1243-1252
ISSN
0018-9294 (ISSN-L)
OpenAlex
W2157570848
Cited by
693
References
33
Citations by year
2026: 21 · 2025: 32 · 2024: 39 · 2023: 42 · 2022: 46 · 2021: 49 · 2020: 57 · 2019: 54 · 2018: 53 · 2017: 39 · 2016: 58 · 2015: 46 · 2014: 53 · 2013: 50 · 2012: 23
FWCI
19.48
Type
journal article
Language
en
Open access
Locations
  • IEEE Transactions on Biomedical Engineering (publishedVersion)
  • PubMed (publishedVersion)
  • DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
Keywords
electrodermal activity, wearable sensors, wrist-worn sensors, long-term physiological monitoring, sympathetic activity, electrode materials, Ag/AgCl electrodes, stress response, in situ assessment
MeSH terms
Clothing, Equipment Design, Galvanic Skin Response, Humans, Sensitivity and Specificity, Signal Processing, Computer-Assisted, Sympathetic Nervous System, Telemetry, Transducers, Reproducibility of Results, Monitoring, Ambulatory, Equipment Failure Analysis

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