Evidence map›Paper›PMID 41305090›Full record

ReviewSensors (Basel, Switzerland)2025

Printed Sensors for Quantifying Electrodermal Activity and Sweat Rate: A Review.

Batoul Hosseinzadeh, Sarah Tonello, Nicola Francesco Lopomo, Emilio Sardini

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Batoul HosseinzadehDepartment of Information Engineering, University of Brescia, Via Branze, 38, 25123 Brescia, Italy.
Sarah TonelloDepartment of Information Engineering, University of Brescia, Via Branze, 38, 25123 Brescia, Italy.
Nicola Francesco LopomoDepartment of Design, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy.ORCID 0000-0002-5795-2606
Emilio SardiniDepartment of Information Engineering, University of Brescia, Via Branze, 38, 25123 Brescia, Italy.ORCID 0000-0001-8629-7316

Funding

MICS (Made in Italy Circular and Sustainable) Extended Partnership noneNext Generation European Union Italian PNRR-M4 C2, Invest 1.3-D.D. 1551.11-10-2022, D73C22001250001
6 · The paper itself

Abstract

Monitoring electrodermal activity (EDA) and sweat rate (SR) and volume hold promise for yielding neurological health insights about individuals. A combination of standard EDA monitoring with the quantitative analysis of perspired sweat volume, rate, and composition represents a promising advancement for improving the understanding and reliability of EDA signals. In this picture, exploiting printed electronics to face challenges related to bulky gold-standard setups and to achieve integration in fully wearable devices represents one of the most interesting approaches addressed by recent research. In this review, we present an overview of the principal techniques, materials, and measurement methods reported for fabricating EDA and sweat monitoring electrodes. We highlight the increasing effect of printing technologies as a key enabler for scalable, low-cost, and customizable fabrication of flexible sensors suited for on-skin applications. These approaches not only support mass production but also enhance adaptability and comfort in wearable formats. Overall, the review emphasizes how printed technologies significantly improve physiological signal quality and open new opportunities for continuous, non-invasive, and personalized health monitoring.

Indexed as

Biosensing TechniquesGalvanic Skin ResponseSweatSweatingElectrodesHumansMonitoring, PhysiologicWearable Electronic Deviceselectrodermal activityprinted sensorssweat monitoring

Identifiers

PMID41305090
PMCPMC12656070

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.