AIMC Topic: Motor Disorders
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A Deep Learning Approach for Automatic and Objective Grading of the Motor Impairment Severity in Parkinson's Disease for Use in Tele-Assessments.
Sensors (Basel, Switzerland)
Nov 6, 2023
Wearable sensors provide a tool for at-home monitoring of motor impairment progression in neurological conditions such as Parkinson's disease (PD). This study examined the ability of deep learning approaches to grade the motor impairment severity in ...
The use of robots for augmentative manipulation during play activities among children with motor impairment: a scoping review.
Disability and rehabilitation
Mar 9, 2022
PURPOSE: To describe the extent, type, and quality of studies involving robots for augmentative manipulation during play by children with severe motor impairments (CwSMI), and to explore how they influenced children's cognitive skills and engagement.
The Effect of Robot-Mediated Virtual Reality Gaming on Upper Limb Spasticity Poststroke: A Randomized-Controlled Trial.
Games for health journal
Jan 31, 2022
Stroke is a common reason for motor disability and is often associated with spasticity and poor motor function of the upper limbs involved. Spasticity management is important to accelerate motor recovery. The objective of this study was to investiga...
Fine motor impairment in children with epilepsy: Relations with seizure severity and lateralizing value.
Epilepsy & behavior : E&B
Jan 8, 2022
Motor skill deficits are common in epilepsy. The Grooved Pegboard Test (GPT) is the most commonly used fine motor task and is included in the NIH Common Data Elements Battery for the assessment of epilepsy. However, there are limited data on its util...
Robotic technology quantifies novel perceptual-motor impairments in patients with chronic kidney disease.
Journal of nephrology
Jan 5, 2021
BACKGROUND: Neurocognitive impairment is commonly reported in patients with chronic kidney disease (CKD). The precise nature of this impairment is unclear, due to the lack of objective and quantitative assessment tools used. The feasibility of using ...
Effect of the Hybrid Assistive Limb on the Gait Pattern for Cerebral Palsy.
Medicina (Kaunas, Lithuania)
Dec 7, 2020
Cerebral palsy (CP) is the most frequent childhood motor disability. Achieving ambulation or standing in children with CP has been a major goal of physical therapy. Recently, robot-assisted gait training using the Hybrid Assistive Limb (HAL) has bee...
The Impact of Robotic Rehabilitation on the Motor System in Neurological Diseases. A Multimodal Neurophysiological Approach.
International journal of environmental research and public health
Sep 9, 2020
Motor disability is a key feature of many neurological diseases, influencing the social roles of affected patients and their ability to perform daily life activities. Current rehabilitation capacities are overwhelmed by the age-related increase of mo...
Predicting motor outcome in preterm infants from very early brain diffusion MRI using a deep learning convolutional neural network (CNN) model.
NeuroImage
Apr 9, 2020
BACKGROUND AND AIMS: Preterm birth imposes a high risk for developing neuromotor delay. Earlier prediction of adverse outcome in preterm infants is crucial for referral to earlier intervention. This study aimed to predict abnormal motor outcome at 2 ...
Evaluating the sit-to-stand transfer assistance from a smart walker in older adults with motor impairments.
Geriatrics & gerontology international
Jan 31, 2020
AIM: To evaluate the effectiveness and user satisfaction with the sit-to-stand (STS) assistance system of a smart walker (SW), and to identify factors associated with them in potential users.
Data-driven analyses of motor impairments in animal models of neurological disorders.
PLoS biology
Nov 21, 2019
Behavior provides important insights into neuronal processes. For example, analysis of reaching movements can give a reliable indication of the degree of impairment in neurological disorders such as stroke, Parkinson disease, or Huntington disease. T...
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