Evidence map›Paper›PMID 31952141›Full record

ReviewSensors (Basel, Switzerland)2020

Innovations in Electrodermal Activity Data Collection and Signal Processing: A Systematic Review.

Hugo F Posada-Quintero, Ki H Chon

Registry-linked trialOpen access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06898242 (Early Myofascial Manual Treatment in Subjects With Spasticity Following Acquired Brain Injury), which is not on this map. Cited by 171 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
171citing papers in PubMed, 5 pooled it
41.1field-weighted citation impact, top 1% of its field
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.

NCT06898242 naactive not recruitingnot on this mapstarted 2025, after this paper: background citation

Early Myofascial Manual Treatment in Subjects With Spasticity Following Acquired Brain Injury

TypeinterventionalSponsorFondazione Policlinico Universitario Agostino Gemelli IRCCSRan2025 to 2026Enrolled24ConditionsBrain Injury, Brain Injury, Vascular, Brain Injuries, TraumaticArmsManual myofascial treatment direct to upper and lower limb, Rehabilitative treatment following rehabilitation project
3 · Its place in the literature

Who cites it

171 citing papers in PubMed, 5 syntheses or guidelines pooled it, 464 citations in OpenAlex.

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111 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Hugo F Posada-QuinteroDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.ORCID 0000-0003-4514-4772
Ki H ChonDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.
University of Connecticut · US

Funding

Office of Naval Research N00014-19-1-2209
6 · The paper itself

Abstract

The electrodermal activity (EDA) signal is an electrical manifestation of the sympathetic innervation of the sweat glands. EDA has a history in psychophysiological (including emotional or cognitive stress) research since 1879, but it was not until recent years that researchers began using EDA for pathophysiological applications like the assessment of fatigue, pain, sleepiness, exercise recovery, diagnosis of epilepsy, neuropathies, depression, and so forth. The advent of new devices and applications for EDA has increased the development of novel signal processing techniques, creating a growing pool of measures derived mathematically from the EDA. For many years, simply computing the mean of EDA values over a period was used to assess arousal. Much later, researchers found that EDA contains information not only in the slow changes (tonic component) that the mean value represents, but also in the rapid or phasic changes of the signal. The techniques that have ensued have intended to provide a more sophisticated analysis of EDA, beyond the traditional tonic/phasic decomposition of the signal. With many researchers from the social sciences, engineering, medicine, and other areas recently working with EDA, it is timely to summarize and review the recent developments and provide an updated and synthesized framework for all researchers interested in incorporating EDA into their research.

Indexed as

EDA data collectionEDA data quality assessmentEDA signal processingelectrodermal activitysympathetic function

Identifiers

PMID31952141
PMCPMC7014446
OpenAlexW3000402017

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.