Evidence map›Paper›PMID 30518133›Full record

ReviewSensors (Basel, Switzerland)2018

A Review of Wearable Solutions for Physiological and Emotional Monitoring for Use by People with Autism Spectrum Disorder and Their Caregivers.

Mohammed Taj-Eldin, Christian Ryan, Brendan O'Flynn, Paul Galvin

2 registry-linked trialsAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
–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.

NCT05340608 completednot on this mapstarted 2022, after this paper: background citation

Development and Validation of a System for the Anticipation of Challenging Behaviors of People With Autism Spectrum Disorder Based on a Smart Shirt: a Mixed-method Design

TypeobservationalSponsorAriel UniversityRan2022 to 2022Enrolled51ConditionsAutism Spectrum DisorderArmsSmart, non-invasive shirt - Physiological parameters, Smart, non-invasive shirt - Relation with challenging behaviors, Smart, non-invasive shirt - Proof of Concept
NCT07504224 nacompletednot on this mapstarted 2024, after this paper: background citation

Feasibility of Wearable Devices as a Source of Data to Support HealthAI in Autism Spectrum Disorder Populations

TypeinterventionalSponsorRady Pediatric Genomics & Systems Medicine InstituteRan2024 to 2026Enrolled40ConditionsAutism Spectrum Disorder, Wearable DevicesArms14-Day Device Monitoring
3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Beyond the Outburst: Charting a New Frontier for Understanding and Treating Irritability in Autistic Adults.Autism research : official journal of the International Society for Autism Research · 2026
    Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Assistive technology for adults on the autism spectrum: A systematic survey.International journal of human-computer interaction · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
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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.

Mohammed Taj-EldinTyndall National Institute, University College Cork, T12 R5CP Cork, Ireland. tageaddin@yahoo.com.ORCID 0000-0002-9147-4580
Christian RyanSchool of Applied Psychology, University College Cork, T12 R5CP Cork, Ireland. christian.ryan@ucc.ie.ORCID 0000-0003-4940-1377
Brendan O'FlynnTyndall National Institute, University College Cork, T12 R5CP Cork, Ireland. brendan.oflynn@tyndall.ie.
Paul GalvinTyndall National Institute, University College Cork, T12 R5CP Cork, Ireland. paul.galvin@tyndall.ie.

Funding

The charity RESPECT and the People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme (FP7/2007-2013) PCOFUND-GA-2013-608728
6 · The paper itself

Abstract

The goal of real-time feedback on physiological changes, stress monitoring and even emotion detection is becoming a technological reality. People in their daily life experience varying emotional states, some of which are negative and which can lead to decreased attention, decreased productivity and ultimately, reduced quality of life. Therefore, having a solution that continuously monitors the physiological signals of the person and assesses his or her emotional well-being could be a very valuable tool. This paper aims to review existing physiological and motional monitoring devices, highlight their features and compare their sensing capabilities. Such technology would be particularly useful for certain populations who experience rapidly changing emotional states such as people with autism spectrum disorder and people with intellectual disabilities. Wearable sensing devices present a potential solution that can support and complement existing behavioral interventions. This paper presents a review of existing and emerging products in the market. It reviews the literature on state-of-the-art prototypes and analyzes their usefulness, clinical validity, and discusses clinical perspectives. A small number of products offer reliable physiological internal state monitoring and may be suitable for people with Autism Spectrum Disorder (ASD). It is likely that more promising solutions will be available in the near future. Therefore, caregivers should be careful in their selection of devices that meet the care-receiver's personal needs and have strong research support for reliability and validity.

Indexed as

Wearable Electronic DevicesAutism Spectrum DisorderCaregiversEmotionsHumansMental HealthMonitoring, PhysiologicQuality of LifeStress, Psychologicalautism spectrum disorderchallenging behavioremotional monitoringphysiological monitoringwearable devices

Identifiers

PMID30518133
PMCPMC6308558

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.