ArticleSensors (Basel, Switzerland)2021
Using Wearable Sensor Technology to Measure Motion Complexity in Infants at High Familial Risk for Autism Spectrum Disorder.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07504224 (Feasibility of Wearable Devices as a Source of Data to Support HealthAI in Autism Spectrum Disorder Populations), which is not on this map. Cited by 40 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Feasibility of Wearable Devices as a Source of Data to Support HealthAI in Autism Spectrum Disorder Populations
Who cites it
40 citing papers in PubMed, 52 citations in OpenAlex.
- A Novel Workflow to Estimate Limb Orientation from Wearable Sensors to Monitor Infant Motor Development.Sensors (Basel, Switzerland) · 2026Article
- Video and Wearable Sensor Technologies for Early Detection of Cerebral Palsy in Infants: A Scoping Review.Journal of clinical medicine · 2026Review
- Neurobehavioral Assessment of Sensorimotor Function in Autism Using Smartphone Technology.Autism research : official journal of the International Society for Autism Research · 2026Article
- Early motor trajectories in infants at increased genetic likelihood for autism.Frontiers in developmental psychology · 2026Article
- Reimagining paediatric care: technology, trust, and the global movement for child-centred innovation.Frontiers in medicine · 2026Review
- A large harmonized upper and lower limb accelerometry dataset: A resource for rehabilitation scientists.Data in brief · 2025Article
- Advancing Wrist-Worn Accelerometry for Measurement of Infant Motor Behavior.Developmental psychobiology · 2025Article
- Digital Twins for Monitoring Neuromotor Development in Preterm Infants: Conceptual Framework and Proof-of-concept Study.Journal of medical systems · 2025Article
- Leveraging AI-Driven Neuroimaging Biomarkers for Early Detection and Social Function Prediction in Autism Spectrum Disorders: A Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
- Wearable sensors in paediatric neurology.Developmental medicine and child neurology · 2025Review
- Trade-Offs Between Simplifying Inertial Measurement Unit-Based Movement Recordings and the Attainability of Different Levels of Analyses: Systematic Assessment of Method Variations.JMIR mHealth and uHealth · 2025Article
- Motor Control Adherence to the Two-thirds Power Law Differs in Autistic Development.Journal of autism and developmental disorders · 2025Article
- A systematic review of portable technologies for the early assessment of motor development in infants.NPJ digital medicine · 2025Article
- A multi-level analysis of motor and behavioural dynamics in 9-month-old preterm and term-born infants during changing emotional and interactive contexts.Scientific reports · 2025Article
- Psychotherapy 2.0 - Application context and effectiveness of sensor technology in psychotherapy with children and adolescents: A systematic review.Internet interventions · 2024Review
- Artificial intelligence detects awareness of functional relation with the environment in 3 month old babies.Scientific reports · 2024Article
- Objective measurement of movement variability using wearable sensors predicts ASD outcomes in infants at high likelihood for ASD and ADHD.Autism research : official journal of the International Society for Autism Research · 2024Article
- Intelligence Sparse Sensor Network for Automatic Early Evaluation of General Movements in Infants.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Automatic assessment of infant carrying and holding using at-home wearable recordings.Scientific reports · 2024Article
- Referent data for investigations of upper limb accelerometry: harmonized data from three cohorts of typically-developing children.Frontiers in pediatrics · 2024Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundMotor dysfunction has been reported as one of the first signs of atypical development in infants at high familial risk for autism spectrum disorder (ASD) (HR infants). However, studies have shown inconsistent results regarding the nature of motor dysfunction and whether it can be predictive of later ASD diagnosis. This is likely because current standardized motor assessments may not identify subtle and specific motor impairments that precede clinically observable motor dysfunction. Quantitative measures of motor development may address these limitations by providing objective evaluation of subtle motor differences in infancy.
methodsWe used Opal wearable sensors to longitudinally evaluate full day motor activity in HR infants, and develop a measure of motion complexity. We focus on complexity of motion because optimal motion complexity is crucial to normal motor development and less complex behaviors might represent repetitive motor behaviors, a core diagnostic symptom of ASD. As proof of concept, the relationship of the motion complexity measure to developmental outcomes was examined in a small set of HR infants.
resultsHR infants with a later diagnosis of ASD show lower motion complexity compared to those that do not. There is a stronger correlation between motion complexity and ASD outcome compared to outcomes of cognitive ability and adaptive skills.
conclusionsObjective measures of motor development are needed to identify characteristics of atypical infant motor function that are sensitive and specific markers of later ASD risk. Motion complexity could be used to track early infant motor development and to discriminate HR infants that go on to develop ASD.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.