Wearable Sensors for Ensuring Sports Safety in Children with Autism Spectrum Disorder: A Comprehensive Review (2025)¶
Status: pending Scraped: 2026-08-12 Source: semantic_scholar Relevance: Direct
Authors: Ofir Arbili, L. Rokach, Seffi Cohen
Citation: Ofir Arbili, L. Rokach, Seffi Cohen (2025), Wearable Sensors for Ensuring Sports Safety in Children with Autism Spectrum Disorder: A Comprehensive Review, semantic_scholar. Type: Determine after review
Abstract¶
Children with Autism Spectrum Disorder (ASD) often face unique risks during sports activities due to challenges such as motor coordination difficulties, sensory sensitivities, and communication impairments. This paper provides a comprehensive review of the use of wearable sensor technologies to enha…
Key Contribution¶
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Design¶
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Key Results¶
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Impact¶
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Linked To¶
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Data Quality Assessment¶
| Field | Assessment |
|---|---|
| Subject selection | How were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis? |
| Data acquisition | How was data physically acquired? Device model (E4, Empatica, WHOOP, Polar, dedicated sensor), sampling rate, placement, firmware version. |
| Acquisition context | From whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based? Naturalistic or controlled? |
| Gold standard labels | How were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation, chart review? Inter-rater reliability reported? |
| Data validation | How were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, manual inspection, automated QC pipeline? |
| Missingness | n=X subjects — do all have complete data? Missing at random, missing completely at random, or missing not at random? Is missingness correlated with outcome? |