AIMC Topic: Gait Disorders, Neurologic
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Enhanced Binary Classification of Gait Disorders Using a Machine Learning Majority Voting Approach.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
This study introduces a machine learning-based methodology for classifying healthy individuals and those with gait disorders, employing a merged data set from 'GaitRec' and 'Gutenberg.' Key gait features were extracted from the normalized ground reac...
Prediction of gait recovery using machine learning algorithms in patients with spinal cord injury.
Medicine
Jun 7, 2024
With advances in artificial intelligence, machine learning (ML) has been widely applied to predict functional outcomes in clinical medicine. However, there has been no attempt to predict walking ability after spinal cord injury (SCI) based on ML. In ...
Effect of robotic-assisted gait training program on spatiotemporal gait parameters for ambulatory children with cerebral palsy: A randomized control trial.
NeuroRehabilitation
Jan 1, 2024
BACKGROUND: Gait training programs are commonly used to improve gait in children with cerebral palsy (CP).
Identifying best fall-related balance factors and robotic-assisted gait training attributes in 105 post-stroke patients using clinical machine learning models.
NeuroRehabilitation
Jan 1, 2024
BACKGROUND: Despite the promising effects of robot-assisted gait training (RAGT) on balance and gait in post-stroke rehabilitation, the optimal predictors of fall-related balance and effective RAGT attributes remain unclear in post-stroke patients at...
Clinical machine learning predicting best stroke rehabilitation responders to exoskeletal robotic gait rehabilitation.
NeuroRehabilitation
Jan 1, 2024
BACKGROUND: Although clinical machine learning (ML) algorithms offer promising potential in forecasting optimal stroke rehabilitation outcomes, their specific capacity to ascertain favorable outcomes and identify responders to robotic-assisted gait t...
Effects of high-intensity interval robot-assisted gait training on cardiopulmonary function and walking ability in chronic stroke survivors: A multicenter single-blind randomized controlled trial.
Journal of back and musculoskeletal rehabilitation
Jan 1, 2024
BACKGROUND: Chronic stroke can impair cardiopulmonary function, mobility, and daily activities. This study assessed the impact of robot-assisted gait training (RAGT) on such impairments.
Effect of robot-assisted gait training on motor dysfunction in Parkinson's patients:A systematic review and meta-analysis.
Journal of back and musculoskeletal rehabilitation
Jan 1, 2024
BACKGROUND: Robot-assisted gait training (RAGT) has been reported to treat motor dysfunction in patients with Parkinson's disease (PD) in the last few years. However, the benefits of RAGT for treating motor dysfunction in PD are still unclear.
End-effector lower limb robot-assisted gait training effects in subacute stroke patients: A randomized controlled pilot trial.
Medicine
Oct 20, 2023
BACKGROUND: This pilot study investigated end-effector lower limb rehabilitation robot training effects in subacute stroke patients.
Feasibility Study: Towards a Robot-Assisted Gait Training in Ophthalmological Rehabilitation.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Sep 1, 2023
The idea of using mobile assistance robots for gait training in rehabilitation has been increasingly explored in recent years due to the associated benefits. This paper describes how the previous results of research and praxis on gait training with a...
Effects of a lower limb rehabilitation robot with various training modes in patients with stroke: A randomized controlled trial.
Medicine
Nov 4, 2022
BACKGROUND: The effect of robot-assisted gait training has been demonstrated to improve gait recovery in patients with stroke. The aim of this study was to determine effects of robot-assisted gait training with various training modes in patients post...
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