Evidence map›Paper›PMID 40006377›Full record

ReviewSensors (Basel, Switzerland)2025

Smart Textile Technology for the Monitoring of Mental Health.

Shonal Fernandes, Alberto Ramos, Mario Vega-Barbas, Carolina García-Vázquez, Fernando Seoane, Iván Pau

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

6 authors.

Shonal FernandesFacultad de Diseño y Tecnología, University of Design, Innovation and Technology, 28016 Madrid, Spain.ORCID 0009-0006-1203-5309
Alberto RamosFacultad de Diseño y Tecnología, University of Design, Innovation and Technology, 28016 Madrid, Spain.
Mario Vega-BarbasETSIS de Telecomunicación, Universidad Politécnica de Madrid, Calle Nikola Tesla S/N, 28038 Madrid, Spain.ORCID 0000-0003-4506-6284
Carolina García-VázquezFacultad de Diseño y Tecnología, University of Design, Innovation and Technology, 28016 Madrid, Spain.ORCID 0000-0003-0830-6621
Fernando SeoaneTextile Materials Technology, Department of Textile Technology, Faculty of Textiles, Engineering and Business Swedish School of Textiles, University of Borås, 503 32 Boras, Sweden.ORCID 0000-0002-6995-967X
Iván PauETSIS de Telecomunicación, Universidad Politécnica de Madrid, Calle Nikola Tesla S/N, 28038 Madrid, Spain.ORCID 0000-0002-1183-4401

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, smart devices have proven their effectiveness in monitoring mental health issues and have played a crucial role in providing therapy. The ability to embed sensors in fabrics opens new horizons for mental healthcare, addressing the growing demand for innovative solutions in monitoring and therapy. The objective of this review is to understand mental health, its impact on the human body, and the latest advancements in the field of smart textiles (sensors, electrodes, and smart garments) for monitoring physiological signals such as respiration rate (RR), electroencephalogram (EEG), electrodermal activity (EDA), electrocardiogram (ECG), and cortisol, all of which are associated with mental health disorders. Databases such as Web of Science (WoS) and Scopus were used to identify studies that utilized smart textiles to monitor specific physiological parameters. Research indicates that smart textiles provide promising results compared to traditional methods, offering enhanced comfort for long-term monitoring.

Indexed as

Mental DisordersMental HealthTextilesElectrocardiographyElectroencephalographyHumansMonitoring, PhysiologicRespiratory RateWearable Electronic Devicescortisolelectrocardiogramelectrodermal activityelectroencephalogrammental healthmonitoringrespiration ratesmart textiles

Identifiers

PMID40006377
PMCPMC11859436

What OpenQuestion holds

Textmetadata
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.