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Related Concept Videos

Autism Spectrum Disorder01:19

Autism Spectrum Disorder

58
Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
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Wearable Solutions Using Physiological Signals for Stress Monitoring on Individuals with Autism Spectrum Disorder

Sandra Cano1, Claudio Cubillos1, Rodrigo Alfaro1

  • 1School of Informatic Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, Chile.

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Wearable devices show promise for monitoring stress in individuals with Autism Spectrum Disorder (ASD). Customization is key for comfort and accurate stress detection using physiological signals like heart activity.

Keywords:
autism spectrum disorderbiomedical sensorsemotion detectionphysiological signalsstress detectionwearable technology

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Area of Science:

  • Biomedical Engineering
  • Autism Spectrum Disorder Research
  • Human-Computer Interaction

Background:

  • Individuals with Autism Spectrum Disorder (ASD) often experience heightened stress.
  • Wearable devices offer potential for monitoring emotional states in ASD.
  • Existing wearable solutions may not adequately address sensory sensitivities in ASD.

Purpose of the Study:

  • To review existing literature on wearable solutions for stress detection in individuals with ASD.
  • To identify physiological parameters and techniques used for stress monitoring.
  • To explore design considerations for wearable devices tailored to ASD needs.

Main Methods:

  • Systematic literature search of Scopus, PubMed, Web of Science, and IEEE Xplore (2014-2024).
  • Analysis of 31 selected articles focusing on wearable technology, physiological signals, and stress detection in ASD.
  • Identification of commonly used physiological parameters and stress detection algorithms.

Main Results:

  • Cardiac activity (photoplethysmography/PPG and electrocardiography/ECG) is the most common physiological signal used.
  • Limitations include small sample sizes, varied study conditions, and the need for customized stress detection algorithms and thresholds.
  • Individual variability and sensory sensitivity necessitate personalized device design and algorithms.

Conclusions:

  • Wearable technology holds significant potential for stress monitoring in ASD.
  • Challenges remain in developing user-friendly, unobtrusive designs and integrating solutions into care plans.
  • Further research is needed to address customization for individual needs and sensory profiles.