[HTML][HTML] The future of General Movement Assessment: The role of computer vision and machine learning–A scoping review

N Silva, D Zhang, T Kulvicius, A Gail, C Barreiros… - Research in …, 2021 - Elsevier
Background The clinical and scientific value of Prechtl general movement assessment
(GMA) has been increasingly recognised, which has extended beyond the detection of …

Automated movement recognition to predict motor impairment in high‐risk infants: a systematic review of diagnostic test accuracy and meta‐analysis

K Raghuram, S Orlandi, P Church… - … Medicine & Child …, 2021 - Wiley Online Library
Aim To assess the sensitivity and specificity of automated movement recognition in
predicting motor impairment in high‐risk infants. Method We searched MEDLINE, Embase …

Cerebral palsy: early markers of clinical phenotype and functional outcome

C Einspieler, AF Bos, M Krieber-Tomantschger… - Journal of clinical …, 2019 - mdpi.com
The Prechtl General Movement Assessment (GMA) has become a cornerstone assessment
in early identification of cerebral palsy (CP), particularly during the fidgety movement period …

Novel AI driven approach to classify infant motor functions

S Reich, D Zhang, T Kulvicius, S Bölte… - Scientific Reports, 2021 - nature.com
The past decade has evinced a boom of computer-based approaches to aid movement
assessment in early infancy. Increasing interests have been dedicated to develop AI driven …

Development and validation of a deep learning method to predict cerebral palsy from spontaneous movements in infants at high risk

D Groos, L Adde, S Aubert, L Boswell… - JAMA network …, 2022 - jamanetwork.com
Importance Early identification of cerebral palsy (CP) is important for early intervention, yet
expert-based assessments do not permit widespread use, and conventional machine …

Computer vision to automatically assess infant neuromotor risk

C Chambers, N Seethapathi, R Saluja… - … on Neural Systems …, 2020 - ieeexplore.ieee.org
An infant's risk of developing neuromotor impairment is primarily assessed through visual
examination by specialized clinicians. Therefore, many infants at risk for impairment go …

Identification of abnormal movements in infants: A deep neural network for body part-based prediction of cerebral palsy

D Sakkos, KD Mccay, C Marcroft, ND Embleton… - IEEE …, 2021 - ieeexplore.ieee.org
The early diagnosis of cerebral palsy is an area which has recently seen significant multi-
disciplinary research. Diagnostic tools such as the General Movements Assessment (GMA) …

Clinical tools used in young infants born very preterm to predict motor and cognitive delay (not cerebral palsy): a systematic review

R Caesar, PB Colditz, G Cioni… - … Medicine & Child …, 2021 - Wiley Online Library
Aim This systematic review evaluates the accuracy of clinical tools used at a corrected age
of 6 months or younger to predict motor and cognitive delay (not cerebral palsy) at 24 …

Three-dimensional pose estimation of infants lying supine using data from a Kinect sensor with low training cost

M Li, F Wei, Y Li, S Zhang, G Xu - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Early diagnosis of cerebral palsy in infants has produced promising results using tools like
the General Movement Assessment (GMA). Pose estimation of infants lying supine is an …

Concurrent validity between live and home video observations using the Alberta Infant Motor Scale

M Boonzaaijer, E van Dam… - Pediatric Physical …, 2017 - journals.lww.com
Purpose: Serial assessment of gross motor development of infants at risk is an established
procedure in neonatal follow-up clinics. Assessments based on home video recordings …