Evidence map›Paper›PMID 39771872›Full record

SynthesisSensors (Basel, Switzerland)2024

Wearable Solutions Using Physiological Signals for Stress Monitoring on Individuals with Autism Spectrum Disorder (ASD): A Systematic Literature Review.

Sandra Cano, Claudio Cubillos, Rodrigo Alfaro, Andrés Romo, Matías García, Fernando Moreira

Abstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
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.

Sandra CanoSchool of Informatic Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, Chile.ORCID 0000-0001-9583-8532
Claudio CubillosSchool of Informatic Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, Chile.ORCID 0000-0003-3990-0658
Rodrigo AlfaroSchool of Informatic Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, Chile.ORCID 0000-0002-4136-1713
Andrés RomoSchool of Informatic Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, Chile.
Matías GarcíaSchool of Informatic Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, Chile.ORCID 0009-0009-3676-8963
Fernando MoreiraREMIT (Research on Economics, Management and Information Technologies), IJP (Instituto Jurídico Portucalense), Universidade Portucalense, Rua Dr. António Bernardino de Almeida, 541-619, 4200-072 Porto, Portugal.ORCID 0000-0002-0816-1445

Funding

the FCT - Fundação para a Ciência e a Tecnologia, I.P. Project UIDB/05105/2020
6 · The paper itself

Abstract

Some previous studies have focused on using physiological signals to detect stress in individuals with ASD through wearable devices, yet few have focused on how to design such solutions. Wearable technology may be a valuable tool to aid parents and caregivers in monitoring the emotional states of individuals with ASD who are at high risk of experiencing very stressful situations. However, effective wearable devices for individuals with ASD may need to differ from solutions for those without ASD. People with ASD often have sensory sensitivity and may, therefore, not tolerate certain types of accessories and experience discomfort when using them. We used the Scopus, PubMed, WoS, and IEEE-Xplore databases to search for studies published from 2014 to 2024 to answer four research questions related to wearable solutions for individuals with ASD, physiological parameters, and techniques/processes used for stress detection. Our review found 31 articles; not all studies considered individuals with ASD, and some were beyond the scope of this review. Most of the studies reviewed are based on cardiac activity for stress monitoring using photoplethysmography (PPG) and electrocardiography (ECG). However, limitations include small sample sizes, variability in study conditions, and the need for customization in stress detection algorithms. In addition, there is a need to customize the stress threshold due to the device's high individual variability and sensitivity. The potential of wearable solutions for stress monitoring in ASD is evident, but challenges include the need for user-friendly and unobtrusive designs and integrating these technologies into comprehensive care plans.

Indexed as

Autism Spectrum DisorderPhotoplethysmographyStress, PsychologicalWearable Electronic DevicesAlgorithmsElectrocardiographyHumansMonitoring, Physiologicautism spectrum disorderbiomedical sensorsemotion detectionphysiological signalsstress detectionwearable technology

Identifiers

PMID39771872
PMCPMC11679670

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.