Evidence map›Paper›PMID 28604607›Full record

ArticleSensors (Basel, Switzerland)2017

Emotional Self-Regulation of Individuals with Autism Spectrum Disorders: Smartwatches for Monitoring and Interaction.

Juan C Torrado, Javier Gomez, Germán Montoro

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 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.

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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Review
  5. Article
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  8. Article
  9. Wearables for Stress Management: A Scoping Review.Healthcare (Basel, Switzerland) · 2023
    Article
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  11. Article
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  15. Article
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  20. Wearables and the medical revolution.Personalized medicine · 2018
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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

3 authors.

Juan C TorradoDepartment of Computer Engineering, Universidad Autónoma de Madrid, Madrid 28049, Spain. juan.torrado@uam.es.
Javier GomezDepartment of Computer Engineering, Universidad Autónoma de Madrid, Madrid 28049, Spain. jg.escribano@uam.es.
Germán MontoroDepartment of Computer Engineering, Universidad Autónoma de Madrid, Madrid 28049, Spain. german.montoro@uam.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we analyze the needs of individuals with Autism Spectrum Disorders (ASD) to have a pervasive, feasible and non-stigmatizing form of assistance in their emotional self-regulation, in order to ease certain behavioral issues that undermine their mental health throughout their life. We argue the potential of recent widespread wearables, and more specifically smartwatches, to achieve this goal. Then, a smartwatch system that implements a wide range of self-regulation strategies and infers outburst patterns from physiological signals and movement is presented, along with an authoring tool for smartphones that is to be used by caregivers or family members to create and edit these strategies, in an adaptive way. We conducted an intensive experiment with two individuals with ASD who showed varied, representative behavioral responses to their emotional dysregulation. Both users were able to employ effective, customized emotional self-regulation strategies by means of the system, recovering from the majority of mild stress episodes and temper tantrums experienced in the nine days of experiment in their classroom.

Indexed as

Autism Spectrum DisorderEmotionsHumansSmartphoneaffective computingassistive technologiesbehavioral monitoringcognitive disabilitiesmobile assistanceubiquitous computingwearable computing

Identifiers

PMID28604607
PMCPMC5492838

What OpenQuestion holds

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LicenceCC BY
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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.