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Related papers: Functional change in children with cerebral palsy

200 papers

Children with ADHD often struggle with executive function (EF) and motor skills, impacting their academics and social life. While medications are commonly used, they have side effects, leading to interest in non-drug treatments. Physical…

Human-Computer Interaction · Computer Science 2025-03-13 Liwen Lin , Nan Lib , Shuchen Zhao

Cerebral Palsy (CP) is a prevalent motor disability in children, for which early detection can significantly improve treatment outcomes. While skeleton-based Graph Convolutional Network (GCN) models have shown promise in automatically…

Human-Computer Interaction · Computer Science 2025-03-24 Kimji N. Pellano , Inga Strümke , Daniel Groos , Lars Adde , Pål Haugen , Espen Alexander F. Ihlen

Video-based gait analysis has become a promising approach for assessing motor impairment in children with cerebral palsy (CP). However, existing methods usually rely on either pose sequences or handcrafted gait features alone, making it…

Image and Video Processing · Electrical Eng. & Systems 2026-03-25 Kaiyuan Yang , Xupeng Chen , Jiangpeng He

Early diagnosis and intervention are clinically considered the paramount part of treating cerebral palsy (CP), so it is essential to design an efficient and interpretable automatic prediction system for CP. We highlight a significant…

Computer Vision and Pattern Recognition · Computer Science 2023-03-29 Haozheng Zhang , Hubert P. H. Shum , Edmond S. L. Ho

This work explores the problem of exercise quality measurement since it is essential for effective management of diseases like cerebral palsy (CP). This work examines the assessment of quality of large amplitude movement (LAM) exercises…

Computer Vision and Pattern Recognition · Computer Science 2016-09-01 Paritosh Parmar , Brendan Tran Morris

Cerebral Palsy (CP) is a neurological disorder of movement and the most common cause of lifelong physical disability in childhood. Approximately 75% of children with CP are ambulatory, and accurate gait assessment is central to preserving…

Computer Vision and Pattern Recognition · Computer Science 2026-05-22 Lauhitya Reddy , Seth Donahue , Jeremy Bauer , Susan Sienko , Anita Bagley , Joseph Krzak , Maura Eveld , Karen Kruger , Ross Chafetz , Vedant Kulkarni , Hyeokhyen Kwon

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition associated with difficulties with social interactions, communication, and restricted or repetitive behaviors. To characterize ASD, investigators often use functional…

Methodology · Statistics 2026-05-12 Jialu Ran , Sarah Shultz , Benjamin B. Risk , David Benkeser

The deficit of executive functioning was found to be associated with attention deficit hyperactivity disorder (ADHD) in general and its subtypes. One of the important functions of central executive is the ability simultaneously coordinate…

Neurons and Cognition · Quantitative Biology 2011-01-11 Ketevan Inasaridze , Vera Bzhalava

Compensatory trunk movements (CTMs) are commonly observed after stroke and can lead to maladaptive movement patterns, limiting targeted training of affected structures. Objective, continuous detection of CTMs during therapy and activities…

Demographic shifts have led to an increase in mild cognitive impairment (MCI), and this study investigates the effects of cognitive training (CT) and reminiscence therapy (RT) conducted by humans or socially assistive robots (SARs) on…

Cerebral palsy (CP) is the most prevalent motor disorder in childhood and often results in gait abnormalities that hinder mobility and diminish quality of life. Functional electrical stimulation (FES) has demonstrated potential in enhancing…

The absence or abnormality of fidgety movements of joints or limbs is strongly indicative of cerebral palsy in infants. Developing computer-based methods for assessing infant movements in videos is pivotal for improved cerebral palsy…

Computer Vision and Pattern Recognition · Computer Science 2021-05-21 Binh Nguyen-Thai , Vuong Le , Catherine Morgan , Nadia Badawi , Truyen Tran , Svetha Venkatesh

Many people living with neurological disorders, such as cerebral palsy, stroke, muscular dystrophy or dystonia experience upper limb impairments (muscle spasticity, loss of selective motor control, muscle weakness or tremors) and have…

Providing early diagnosis of cerebral palsy (CP) is key to enhancing the developmental outcomes for those affected. Diagnostic tools such as the General Movements Assessment (GMA), have produced promising results in early diagnosis, however…

Computer Vision and Pattern Recognition · Computer Science 2021-06-10 Kevin D. McCay , Edmond S. L. Ho , Dimitrios Sakkos , Wai Lok Woo , Claire Marcroft , Patricia Dulson , Nicholas D. Embleton

The development of effective treatments for Cerebral Palsy (CP) can begin with the early identification of affected children while they are still in the early stages of the disorder. Pathological issues in the brain can be better diagnosed…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Karan Kumar Singh , Nikita Gajbhiye , Gouri Sankar Mishra

Aim: To determine the long-term efficacy of Katona therapy and early rehabilitation of infants with moderate-to-severe perinatal brain damage (PBD). Methods: Thirty-two participants were recruited (7-to-16 years) and divided into 3 groups:…

Pressure ulcers (PU) are known to be a high-cost disease with a risk of severe morbidity. This work evaluates a new clinical strategy based on an innovative medical device (Tongue Display Unit-TDU) that implements perceptive supplementation…

Neuromuscular disorders, such as Spinal Muscular Atrophy (SMA) and Duchenne Muscular Dystrophy (DMD), cause progressive muscular degeneration and loss of motor function for 1 in 6,000 children. Traditional upper limb motor function…

Recommendations for common outcome measures following pediatric traumatic brain injury (TBI) support the integration of instrumental measurements alongside perceptual assessment in recovery and treatment plans. A comprehensive set of…

This study investigates the effectiveness of a Virtual Reality (VR)-based training program in improving body awareness among children with Attention Deficit Hyperactivity Disorder (ADHD). Utilizing a quasi-experimental design, the research…

Human-Computer Interaction · Computer Science 2026-02-24 Aya Abdelnaem El-Basha , Ebtsam ELSayed Mahmoud ELSayes , Ahmad Al-Kabbany
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