Automated Movement Analysis to Predict Cerebral Palsy in Very Preterm Infants: An Ambispective Cohort Study
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Automated Movement Analysis to Predict Cerebral Palsy in Very Preterm Infants: An Ambispective Cohort Study
Authors
Keywords
-
Journal
Children-Basel
Volume 9, Issue 6, Pages 843
Publisher
MDPI AG
Online
2022-06-09
DOI
10.3390/children9060843
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Deep learning-based quantitative analyses of spontaneous movements and their association with early neurological development in preterm infants
- (2022) Hyun Iee Shin et al. Scientific Reports
- Automated movement recognition to predict motor impairment in high‐risk infants: a systematic review of diagnostic test accuracy and meta‐analysis
- (2021) Kamini Raghuram et al. DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY
- In-Motion-App for remote General Movement Assessment: a multi-site observational study
- (2021) Lars Adde et al. BMJ Open
- Usability and inter-rater reliability of the NeuroMotion app: A tool in General Movements Assessments
- (2021) Katarina A. Svensson et al. EUROPEAN JOURNAL OF PAEDIATRIC NEUROLOGY
- The assessment of general movements in term and late-preterm infants diagnosed with neonatal encephalopathy, as a predictive tool of cerebral palsy by 2 years of age—a scoping review
- (2021) Judy Seesahai et al. Systematic Reviews
- General Movement Assessment from videos of computed 3D infant body models is equally effective compared to conventional RGB video rating
- (2020) A. Sebastian Schroeder et al. EARLY HUMAN DEVELOPMENT
- Spontaneous movements in the newborns: a tool of quantitative video analysis of preterm babies
- (2020) Chiara Tacchino et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Automated pose estimation captures key aspects of General Movements at 8‐17 weeks from conventional videos
- (2019) Viviana Marchi et al. ACTA PAEDIATRICA
- Automated movement analysis to predict motor impairment in preterm infants: a retrospective study
- (2019) Kamini Raghuram et al. Journal of Perinatology
- Machine Learning of Infant Spontaneous Movements for the Early Prediction of Cerebral Palsy: A Multi-Site Cohort Study
- (2019) Espen A. F. Ihlen et al. Journal of Clinical Medicine
- Trends in the neurodevelopmental outcomes among preterm infants from 2003–2012: a retrospective cohort study in Japan
- (2018) Hidehiko Nakanishi et al. Journal of Perinatology
- Motor Impairment Trends in Extremely Preterm Children: 1991–2005
- (2018) Alicia J. Spittle et al. PEDIATRICS
- Prediction of long-term neurodevelopmental outcome in preterm infants using trajectories of general movement assessments
- (2018) Jessie van Dyk et al. Journal of Perinatology
- Detection of Infantile Movement Disorders in Video Data Using Deformable Part-Based Model
- (2018) Muhammad Khan et al. SENSORS
- The Baby Moves smartphone app for General Movements Assessment: Engagement amongst extremely preterm and term-born infants in a state-wide geographical study
- (2018) Amanda KL Kwong et al. JOURNAL OF PAEDIATRICS AND CHILD HEALTH
- Comparison of Cerebral Palsy Severity Between 2 Eras of Antenatal Magnesium Use
- (2018) Bethany T. Stetson et al. JAMA Pediatrics
- Computer-based video analysis identifies infants with absence of fidgety movements
- (2017) Ragnhild Støen et al. PEDIATRIC RESEARCH
- Cerebral Palsy in Extremely Preterm Infants
- (2017) Maria Hafström et al. PEDIATRICS
- Early, Accurate Diagnosis and Early Intervention in Cerebral Palsy
- (2017) Iona Novak et al. JAMA Pediatrics
- Characteristics of general movements in preterm infants assessed by computer-based video analysis
- (2017) Lars Adde et al. PHYSIOTHERAPY THEORY AND PRACTICE
- Trends in the prevalence of cerebral palsy among very preterm infants (
- (2017) Michael J Vincer et al. Paediatrics & Child Health
- Frequency Analysis and Feature Reduction Method for Prediction of Cerebral Palsy in Young Infants
- (2016) Hodjat Rahmati et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- The general movement optimality score: a detailed assessment of general movements during preterm and term age
- (2015) Christa Einspieler et al. DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY
- Movement Recognition Technology as a Method of Assessing Spontaneous General Movements in High Risk Infants
- (2015) Claire Marcroft et al. Frontiers in Neurology
- Mothers' and health care providers' perspectives of the barriers and facilitators to attendance at Canadian neonatal follow-up programs
- (2014) M. Ballantyne et al. CHILD CARE HEALTH AND DEVELOPMENT
- Computer-based analysis of general movements reveals stereotypies predicting cerebral palsy
- (2014) Heike Philippi et al. DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY
- Jerky spontaneous movements at term age in preterm infants who later developed cerebral palsy
- (2014) Nao Kanemaru et al. EARLY HUMAN DEVELOPMENT
- Specific characteristics of spontaneous movements in preterm infants at term age are associated with developmental delays at age 3 years
- (2013) Nao Kanemaru et al. DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY
- A systematic review of tests to predict cerebral palsy in young children
- (2013) Margot Bosanquet et al. DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY
- Prognostic value of the qualitative assessments of general movements in late-preterm infants
- (2013) Claudia Brogna et al. EARLY HUMAN DEVELOPMENT
- Identification of fidgety movements and prediction of CP by the use of computer-based video analysis is more accurate when based on two video recordings
- (2013) Lars Adde et al. PHYSIOTHERAPY THEORY AND PRACTICE
- Kinematic assessment of stereotypy in spontaneous movements in infants
- (2012) Dominik Karch et al. GAIT & POSTURE
- An Optical Flow-Based Method to Predict Infantile Cerebral Palsy
- (2012) A. Stahl et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- Assessment of Infant Movement With a Compact Wireless Accelerometer System
- (2012) D. Gravem et al. Journal of Medical Devices-Transactions of the ASME
- Development and reliability of a system to classify gross motor function in children with cerebral palsy
- (2010) Robert Palisano et al. DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY
- Early prediction of cerebral palsy by computer-based video analysis of general movements: a feasibility study
- (2010) LARS ADDE et al. DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY
- Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation
- (2010) T Brox et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Movement analysis by accelerometry of newborns and infants for the early detection of movement disorders due to infantile cerebral palsy
- (2010) Franziska Heinze et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Using computer-based video analysis in the study of fidgety movements
- (2009) Lars Adde et al. EARLY HUMAN DEVELOPMENT
- Quantification of the segmental kinematics of spontaneous infant movements
- (2008) Dominik Karch et al. JOURNAL OF BIOMECHANICS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started