Identification of abnormal movements in infants: A deep neural network for body part-based prediction of cerebral palsy
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) …
disciplinary research. Diagnostic tools such as the General Movements Assessment (GMA) …
A pose-based feature fusion and classification framework for the early prediction of cerebral palsy in infants
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) …
disciplinary research. Diagnostic tools such as the General Movements Assessment (GMA) …
Infant movement classification through pressure distribution analysis
T Kulvicius, D Zhang, K Nielsen-Saines… - Communications …, 2023 - nature.com
Background Aiming at objective early detection of neuromotor disorders such as cerebral
palsy, we propose an innovative non-intrusive approach using a pressure sensing device to …
palsy, we propose an innovative non-intrusive approach using a pressure sensing device to …
Cerebral palsy prediction with frequency attention informed graph convolutional networks
Early diagnosis and intervention are clinically con-sidered the paramount part of treating
cerebral palsy (CP), so it is essential to design an efficient and interpretable automatic …
cerebral palsy (CP), so it is essential to design an efficient and interpretable automatic …
Weakly supervised online action detection for infant general movements
T Luo, J Xiao, C Zhang, S Chen, Y Tian, G Yu… - … Conference on Medical …, 2022 - Springer
To make the earlier medical intervention of infants' cerebral palsy (CP), early diagnosis of
brain damage is critical. Although general movements assessment (GMA) has shown …
brain damage is critical. Although general movements assessment (GMA) has shown …
Deep learning empowered sensor fusion to improve infant movement classification
There is a recent boom in the development of AI solutions to facilitate and enhance
diagnostic procedures for established clinical tools. To assess the integrity of the developing …
diagnostic procedures for established clinical tools. To assess the integrity of the developing …
[HTML][HTML] CP-AGCN: Pytorch-based attention informed graph convolutional network for identifying infants at risk of cerebral palsy
Early prediction is clinically considered one of the essential parts of cerebral palsy (CP)
treatment. We propose to implement a low-cost and interpretable classification system for …
treatment. We propose to implement a low-cost and interpretable classification system for …
[HTML][HTML] PCPP: A MATLAB application for abnormal infant movement detection from video
PCPP is an application developed in MATLAB, for the detection of abnormal infant
movements associated with cerebral palsy. This system uses 2D skeletal data extracted from …
movements associated with cerebral palsy. This system uses 2D skeletal data extracted from …
[PDF][PDF] Northumbria Research Link
ND Embleton, A Munteanu… - IEEE Trans. Neural Syst …, 2022 - nrl.northumbria.ac.uk
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) …
disciplinary research. Diagnostic tools such as the General Movements Assessment (GMA) …
Human Movement Disorders Analysis with Graph Neural Networks
H Zhang - 2024 - etheses.dur.ac.uk
Human movement disorders encompass a group of neurological conditions that cause
abnormal movements. These disorders, even when subtle, may be symptomatic of a broad …
abnormal movements. These disorders, even when subtle, may be symptomatic of a broad …