Evidence map›Paper›PMID 42090915›Full record

ArticlePediatric neurology2026

Spontaneous Leg Movements Measured by Wearable Sensors in Infancy Differentiate Later Risk for Cerebral Palsy.

Samuel R Pierce, Mustafa A Ghazi, Thubi H A Kolobe, Andrew H Fagg, Julie C Skorup, Noor I Ruwaih, Abbas F Jawad, Laura A Prosser, Beth A Smith

Abstract read
In one paragraph

Article in Pediatric neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Samuel R PierceDivision of Rehabilitation Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania. Electronic address: pierces1@chop.edu.
Mustafa A GhaziDivision of Developmental-Behavioral Pediatrics, Children's Hospital Los Angeles, Los Angeles, California.
Thubi H A KolobeDivision of Rehabilitation Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Rehabilitation Science, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.
Andrew H FaggDepartment of Computer Science, University of Oklahoma, Norman, Oklahoma.
Julie C SkorupDivision of Rehabilitation Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Noor I RuwaihDivision of Rehabilitation Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Abbas F JawadDepartment of Pediatrics, University of Pennsylvania, Philadelphia, Pennsylvania; Division of General Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Laura A ProsserDivision of Rehabilitation Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Pediatrics, University of Pennsylvania, Philadelphia, Pennsylvania.
Beth A SmithDivision of Developmental-Behavioral Pediatrics, Children's Hospital Los Angeles, Los Angeles, California; Developmental Neuroscience and Neurogenetics Program, The Saban Research Institute, Los Angeles, California; Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, California.

Funding

Locomotor learning in infants at high risk for cerebral palsyR01HD098364 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI PROSSER, LAURA ANNE, SHIH, YO · 2020 to 2024
$3.8M
NICHD NIH HHS R01 HD098364
6 · The paper itself

Abstract

backgroundTo determine if early spontaneous leg movements of infants differentiate risk status for cerebral palsy (CP) in infants who had a perinatal brain injury.

methodsInfants born at risk for CP (due to a perinatal brain injury) were classified as high risk for CP (n = 33) or not at high risk (n = 21), at 4 months of age, using General Movements Assessment and Test of Infant Motor Performance. Full-day leg movement data were recorded using wearable inertial sensors on each ankle (2 days per month, from age 1 to 4 months). Kinematic parameters were derived from accelerometer and gyroscope data as follows: (1) number of leg movements per hour awake; (2) median leg movement acceleration; (3) median leg movement duration; and (4) fuzzy entropy of peak leg movement acceleration. The leg kinematic parameters measured at month 1 and month 4 were analyzed using mixed-effects models.

resultsInfants classified as high risk for CP had statistically significantly fewer number of leg movements per hour awake and shorter median leg movement duration than infants not at high risk (P = 0.0322 and P = 0.0023, respectively).

conclusionsThe spontaneous movements of infants can be characterized in their natural environments using wearable sensors and have potential to inform recommendations for early intervention and follow-up with experts in CP diagnosis.

Indexed as

Brain InjuriesCerebral PalsyLegWearable Electronic DevicesAccelerometryBiomechanical PhenomenaFemaleHumansInfantMaleMovementCerebral palsyDiagnosisInfantMovementSensors

Identifiers

PMID42090915
PMCPMC13166078

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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.