Evidence map›Paper›PMID 41600351›Full record

ArticleSensors (Basel, Switzerland)2026

Sensory Reinforcement Feedback Using Movement-Controlled Smartphone App Facilitates Movement in Infants with Neurodevelopmental Disorders: A Pilot Study.

Anina Ritterband-Rosenbaum, Jens Bo Nielsen, Mikkel Damgaard Justiniano

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

3 authors.

Anina Ritterband-RosenbaumElsass Foundation, Holmegaardsvej 28, 2920 Charlottenlund, Denmark.ORCID 0000-0002-3154-2537
Jens Bo NielsenElsass Foundation, Holmegaardsvej 28, 2920 Charlottenlund, Denmark.ORCID 0000-0001-5568-2916
Mikkel Damgaard JustinianoElsass Foundation, Holmegaardsvej 28, 2920 Charlottenlund, Denmark.ORCID 0000-0002-3026-9209

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New wearable technology opens new possibilities for low-cost, easily accessible home-based interventions as a supplement to typical clinical rehabilitation therapy. In this pilot study, we tested a new interactive adjustable Feedback training system on 14 infants at high risk of cerebral palsy between 2 and 12 months of age to facilitate increased movements. The system consists of four wireless motion sensors placed on the infant's limbs. Inertial sensors track the infant's movements which control auditory and visual stimuli that act as motivational feedback. A 15 min usage of the Feedback training system four days a week for approximately six months was aimed for. None of the participants reached the recommended amount of intervention, due to time limitations. Seven of the twelve participating infants (58%) achieved at least 50% of the recommended training amount. Parents found the Feedback training system easy to use with minimal need for technical assistance. Preliminary data suggest that infants engaged more actively during training sessions where their movements actively controlled the presentation of the stimuli. The Feedback training system is promising as a user-friendly add-on to the playful and interactive stimulation of motor and cognitive development in infants with neurodevelopmental disorders.

Indexed as

Feedback, SensoryMobile ApplicationsNeurodevelopmental DisordersSmartphoneCerebral PalsyFemaleHumansInfantMaleMovementPilot Projectscerebral palsyfeedbackinteractivemovement sensorpositive reinforcementsensorimotor interventionwearable technology

Identifiers

PMID41600351
PMCPMC12845570

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.