Video and Wearable Sensor Technologies for Early Detection of Cerebral Palsy in Infants: A Scoping Review (2026)

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

Authors: Charlotte F. Wahle, Aura M Elias, N. Galoustian et al.

Citation: Charlotte F. Wahle, Aura M Elias, N. Galoustian et al. (2026), Video and Wearable Sensor Technologies for Early Detection of Cerebral Palsy in Infants: A Scoping Review, semantic_scholar. Type: Determine after review

Abstract

It is well established that early diagnosis and subsequent intervention can result in significant benefits in infants with neurodevelopmental disorders such as cerebral palsy (CP). This scoping review aimed to assess the current state of the literature regarding the use of innovative and emerging te…

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Design

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Key Results

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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?