Wearable HRV Stress Detection and Intervention for Sensory Overload in Children with Autism in the Philippines (2025)

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

Authors: Berenice Medina, M. Villanueva, N. Zamin

Citation: Berenice Medina, M. Villanueva, N. Zamin (2025), Wearable HRV Stress Detection and Intervention for Sensory Overload in Children with Autism in the Philippines, semantic_scholar. Type: Determine after review

Abstract

Children with Autism Spectrum Disorder (ASD) are often highly susceptible to sensory overload, triggered by factors such as excessive noise, unfamiliar environments, or challenges in emotional regulation. Sensory overload can result in intense reactions, including tantrums and meltdowns, which may e…

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Design

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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?