ReviewSensors (Basel, Switzerland)2020
AI Approaches Towards Prechtl's Assessment of General Movements: A Systematic Literature Review.
Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed.
- Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk.JAMA network open · 2022Trial
- Deep learning-based quantitative analyses of spontaneous movements and their association with early neurological development in preterm infants.Scientific reports · 2022Trial
- Early cerebral palsy risk screening through wearable accelerometry in infants under nine weeks.Scientific reports · 2026Article
- A preregistered, open pipeline for early cerebral palsy risk assessment from infant videos.GigaScience · 2026Article
- Trunk Kinematics in Writhing and Fidgety Movements: A Pilot Study on Early Postural Control in Infants Using Computer Vision.Bioengineering (Basel, Switzerland) · 2026Article
- A machine learning study highlighting the challenges of fidgety movement recognition using vision and inertial sensors.Scientific reports · 2026Article
- Early Upper Limb Function in Infants Under Three Months: Associations with Shoulder Biomechanics and General Movement Patterns.Pediatric reports · 2025Article
- Automatic infant 2D pose estimation from videos: Comparing seven deep neural network methods.Behavior research methods · 2025Article
- Towards universal early screening for cerebral palsy: a roadmap for automated General Movements Assessment.EClinicalMedicine · 2025Review
- Doing Everything We Can to Help Our High-Risk Newborns: A Qualitative, Lifeworld-Led Study of What Early Risk Assessment for Cerebral Palsy Means to Parents.Journal of clinical medicine · 2025Article
- Comparison of marker-less 2D image-based methods for infant pose estimation.Scientific reports · 2025Article
- A systematic review of portable technologies for the early assessment of motor development in infants.NPJ digital medicine · 2025Article
- Deep learning empowered sensor fusion boosts infant movement classification.Communications medicine · 2025Article
- Quantifying spontaneous infant movements using state-space models.Scientific reports · 2024Article
- Towards novel classification of infants' movement patterns supported by computerized video analysis.Journal of neuroengineering and rehabilitation · 2024Article
- Artificial intelligence detects awareness of functional relation with the environment in 3 month old babies.Scientific reports · 2024Article
- The General Movement Optimality Score-Revised (GMOS-R) with Socioeconomically Stratified Percentile Ranks.Journal of clinical medicine · 2024Article
- Machine learning approaches to evaluate infants' general movements in the writhing stage-a pilot study.Scientific reports · 2024Article
- Automated identification of abnormal infant movements from smart phone videos.PLOS digital health · 2024Article
- Correlation between pose estimation features regarding movements towards the midline in early infancy.PloS one · 2024Article
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
General movements (GMs) are spontaneous movements of infants up to five months post-term involving the whole body varying in sequence, speed, and amplitude. The assessment of GMs has shown its importance for identifying infants at risk for neuromotor deficits, especially for the detection of cerebral palsy. As the assessment is based on videos of the infant that are rated by trained professionals, the method is time-consuming and expensive. Therefore, approaches based on Artificial Intelligence have gained significantly increased attention in the last years. In this article, we systematically analyze and discuss the main design features of all existing technological approaches seeking to transfer the Prechtl's assessment of general movements from an individual visual perception to computer-based analysis. After identifying their shared shortcomings, we explain the methodological reasons for their limited practical performance and classification rates. As a conclusion of our literature study, we conceptually propose a methodological solution to the defined problem based on the groundbreaking innovation in the area of Deep Learning.
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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.