AIMC Topic: Cerebral Palsy
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Accuracy deficits during robotic time-constrained reaching are related to altered prefrontal cortex activity in children with cerebral palsy.
Journal of neuroengineering and rehabilitation
Dec 19, 2024
BACKGROUND: The prefrontal cortex (PFC) is an important node for action planning in the frontoparietal reaching network but its role in reaching in children with cerebral palsy (CP) is unexplored. This case-control study combines a robotic task with ...
Estimating Ground Reaction Forces from Gait Kinematics in Cerebral Palsy: A Convolutional Neural Network Approach.
Annals of biomedical engineering
Nov 30, 2024
PURPOSE: While gait analysis is essential for assessing neuromotor disorders like cerebral palsy (CP), capturing accurate ground reaction force (GRF) measurements during natural walking presents challenges, particularly due to variations in gait patt...
Effects of interval treadmill training on spatiotemporal parameters in children with cerebral palsy: A machine learning approach.
Journal of biomechanics
Oct 28, 2024
Quantifying individualized rehabilitation responses and optimizing therapy for each person is challenging. For interventions like treadmill training, there are multiple parameters, such as speed or incline, that can be adjusted throughout sessions. T...
A systematic review on machine learning approaches in cerebral palsy research.
PeerJ
Oct 18, 2024
BACKGROUND: This review aims to explore advances in the field of cerebral palsy (CP) focusing on machine learning (ML) models. The objectives of this study is to analyze the advances in the application of ML models in the field of CP and to compare t...
Trends in brain MRI and CP association using deep learning.
La Radiologia medica
Oct 10, 2024
Cerebral palsy (CP) is a neurological disorder that dissipates body posture and impairs motor functions. It may lead to an intellectual disability and affect the quality of life. Early intervention is critical and challenging due to the uncooperative...
An automated framework for pediatric hip surveillance and severity assessment using radiographs.
International journal of computer assisted radiology and surgery
Sep 16, 2024
PURPOSE: Hip dysplasia is the second most common orthopedic condition in children with cerebral palsy (CP) and may result in disability and pain. The migration percentage (MP) is a widely used metric in hip surveillance, calculated based on an anteri...
Uncovering early predictors of cerebral palsy through the application of machine learning: a case-control study.
BMJ paediatrics open
Aug 30, 2024
OBJECTIVE: Cerebral palsy (CP) is a group of neurological disorders with profound implications for children's development. The identification of perinatal risk factors for CP may lead to improved preventive and therapeutic strategies. This study aime...
Robotic assessment of bilateral and unilateral upper limb functions in adults with cerebral palsy.
Journal of neuroengineering and rehabilitation
Aug 22, 2024
BACKGROUND: Children with unilateral cerebral palsy (CP) exhibit motor impairments predominantly on one side of the body, while also having ipsilesional and bilateral impairments. These impairments are known to persist through adulthood, but their ex...
Comparing the effectiveness of robotic plantarflexion resistance and biofeedback between overground and treadmill walking.
Journal of biomechanics
Aug 16, 2024
Individuals with diminished walking performance caused by neuromuscular impairments often lack plantar flexion muscle activity. Robotic devices have been developed to address these issues and increase walking performance. While these devices have sho...
Treatment with robot-assisted gait trainer Walkbot along with physiotherapy vs. isolated physiotherapy in children and adolescents with cerebral palsy. Experimental study.
BMC neurology
Jul 15, 2024
BACKGROUND: Improving walking ability is a key objective in the treatment of children and adolescents with cerebral palsy, since it directly affects their activity and participation. In recent years, robotic technology has been implemented in gait tr...
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