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Developmental Medicine & Child Neurology
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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PubMed Central
Other literature type . 2025
License: CC BY
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Wearable sensors in paediatric neurology

Authors: González Barral, Camila; Servais, Laurent;

Wearable sensors in paediatric neurology

Abstract

AbstractWearable sensors have the potential to transform diagnosis, monitoring, and management of children who have neurological conditions. Traditional methods for assessing neurological disorders rely on clinical scales and subjective measures. The snapshot of the disease progression at a particular time point, lack of cooperation by the children during assessments, and susceptibility to bias limit the utility of these measures. Wearable sensors, which capture data continuously in natural settings, offer a non‐invasive and objective alternative to traditional methods. This review examines the role of wearable sensors in various paediatric neurological conditions, including cerebral palsy, epilepsy, autism spectrum disorder, attention‐deficit/hyperactivity disorder, as well as Rett syndrome, Down syndrome, Angelman syndrome, Prader–Willi syndrome, neuromuscular disorders such as Duchenne muscular dystrophy and spinal muscular atrophy, ataxia, Gaucher disease, headaches, and sleep disorders. The review highlights their application in tracking motor function, seizure activity, and daily movement patterns to gain insights into disease progression and therapeutic response. Although challenges related to population size, compliance, ethics, and regulatory approval remain, wearable technology promises to improve clinical trials and outcomes for patients in paediatric neurology.

Countries
Belgium, United Kingdom
Keywords

Wearable Electronic Devices, Developmental Neuroscience, Neurology, Pédiatrie, Pediatrics, Perinatology and Child Health, Humans, Neurology (clinical), Review, Human health sciences, Nervous System Diseases, Child, Sciences de la santé humaine, Pediatrics

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Green
hybrid
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