From motion to emotion: exploring challenging behaviors in autism spectrum disorder through analysis of wearable physiology and movement (2025)

Status: pending Scraped: 2026-08-12 Source: semantic_scholar Relevance: Direct

Authors: A. B. Rad, Tania Villavicencio, Y. Kiarashi et al.

Citation: A. B. Rad, Tania Villavicencio, Y. Kiarashi et al. (2025), From motion to emotion: exploring challenging behaviors in autism spectrum disorder through analysis of wearable physiology and movement, semantic_scholar. Type: Determine after review

Abstract

Objective. This study aims to evaluate the efficacy of wearable physiology and movement sensors in identifying a spectrum of challenging behaviors, including self-injurious behavior, in children and teenagers with autism spectrum disorder (ASD) in real-world settings. Approach. We utilized a long-sh…

Key Contribution

Review and expand.

Design

Review and expand.

Key Results

Review and expand.

Impact

Review and expand.

Linked To

Add cross-references after review.

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?