ReviewSensors (Basel, Switzerland)2016
A Review of Wearable Sensor Systems for Monitoring Body Movements of Neonates.
Review in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Wearable-Sensor-Based Physical Activity and Sleep in Children with Down Syndrome Aged 0-5 Years: A Systematic Review.Sensors (Basel, Switzerland) · 2025Pooled it
- Spontaneous Leg Movements Measured by Wearable Sensors in Infancy Differentiate Later Risk for Cerebral Palsy.Pediatric neurology · 2026Article
- Many Moving Parts: A Motor-Based Perspective on Developmental Speech and Language Research in Neurodevelopmental Disorders.Journal of speech, language, and hearing research : JSLHR · 2026Article
- A Novel Workflow to Estimate Limb Orientation from Wearable Sensors to Monitor Infant Motor Development.Sensors (Basel, Switzerland) · 2026Article
- Touchless monitoring of neonatal activity: a multi-center study.Pediatric research · 2026Article
- Automatic infant 2D pose estimation from videos: Comparing seven deep neural network methods.Behavior research methods · 2025Article
- A Two-Dimensional Position and Motion Monitoring System for Preterm Infants Using a Fiber-Optic Pressure-Sensitive Mattress.Sensors (Basel, Switzerland) · 2025Article
- Wearable sensors for measuring spontaneous upper limb use in children with unilateral cerebral palsy and typical development.Journal of neuroengineering and rehabilitation · 2025Observational
- A systematic review of portable technologies for the early assessment of motor development in infants.NPJ digital medicine · 2025Article
- Acceptability, validity and responsiveness of inertial measurement units for assessing motor recovery after gene therapy in infants with early onset spinal muscular atrophy: a prospective cohort study.Journal of neuroengineering and rehabilitation · 2024Article
- Machine learning approaches to evaluate infants' general movements in the writhing stage-a pilot study.Scientific reports · 2024Article
- Correlation between pose estimation features regarding movements towards the midline in early infancy.PloS one · 2024Article
- Sensor-Based Wearable Systems for Monitoring Human Motion and Posture: A Review.Sensors (Basel, Switzerland) · 2023Review
- Review
- Wearable accelerometers for measuring and monitoring the motor behaviour of infants with brain damage during CareToy-Revised training.Journal of neuroengineering and rehabilitation · 2023Article
- Comparison of End-to-End Neural Network Architectures and Data Augmentation Methods for Automatic Infant Motility Assessment Using Wearable Sensors.Sensors (Basel, Switzerland) · 2023Article
- Reliability and Repeatability of a Postural Control Test for Preterm Infants.International journal of environmental research and public health · 2023Article
- Design and Construct Validity of a Postural Control Test for Pre-Term Infants.Diagnostics (Basel, Switzerland) · 2022Article
- Precision medicine via the integration of phenotype-genotype information in neonatal genome project.Fundamental research · 2022Review
- Monitoring Breathing and Heart Rate Using Episodic Broadcast Data Transmission.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Characteristics of physical movements are indicative of infants' neuro-motor development and brain dysfunction. For instance, infant seizure, a clinical signal of brain dysfunction, could be identified and predicted by monitoring its physical movements. With the advance of wearable sensor technology, including the miniaturization of sensors, and the increasing broad application of micro- and nanotechnology, and smart fabrics in wearable sensor systems, it is now possible to collect, store, and process multimodal signal data of infant movements in a more efficient, more comfortable, and non-intrusive way. This review aims to depict the state-of-the-art of wearable sensor systems for infant movement monitoring. We also discuss its clinical significance and the aspect of system design.
Indexed as
Identifiers
What OpenQuestion holds
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.