AIMC Topic: Gait Disorders, Neurologic
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Prediction of robotic neurorehabilitation functional ambulatory outcome in patients with neurological disorders.
Journal of neuroengineering and rehabilitation
Dec 18, 2021
INTRODUCTION: Conflicting results persist regarding the effectiveness of robotic-assisted gait training (RAGT) for functional gait recovery in post-stroke survivors. We used several machine learning algorithms to construct prediction models for the f...
Abnormal synergistic gait mitigation in acute stroke using an innovative ankle-knee-hip interlimb humanoid robot: a preliminary randomized controlled trial.
Scientific reports
Nov 24, 2021
Abnormal spasticity and associated synergistic patterns are the most common neuromuscular impairments affecting ankle-knee-hip interlimb coordinated gait kinematics and kinetics in patients with hemiparetic stroke. Although patients with hemiparetic ...
Female
Aged
Aged, 80 and over
Biomechanical Phenomena
Humans
Physical Therapy Modalities
Stroke Rehabilitation
Gait Disorders, Neurologic
Hip Joint
Ankle Joint
Exoskeleton Device
Functional Status
Single-Blind Method
Equipment Design
Gait
Range of Motion, Articular
Treatment Outcome
Male
Knee Joint
Recovery of Function
Middle Aged
Stroke
Robotics
Time Factors
Different Effects of Robot-Assisted Gait and Independent Over-Ground Gait on Foot Plantar Pressure in Incomplete Spinal Cord Injury: A Preliminary Study.
International journal of environmental research and public health
Nov 17, 2021
BACKGROUND: There is insufficient evidence to establish the optimal treatment protocol for robot-assisted gait training.
Design and Simulation Analysis of a Robot-Assisted Gait Trainer with the PBWS System.
Journal of healthcare engineering
Nov 15, 2021
In response to the ever-increasing demand of lower limb rehabilitation, this paper presents a novel robot-assisted gait trainer (RGT) to assist the elderly and the pediatric patients with neurological impairments in the lower limb rehabilitation trai...
Effects of Robot-Assisted Gait Training in Patients With Multiple Sclerosis: A Single-Blinded Randomized Controlled Study.
American journal of physical medicine & rehabilitation
Oct 21, 2021
OBJECTIVE: This study aims to evaluate and compare the effects of conventional and robot-assisted gait training (RAGT) programs on fatigue, mood, and quality of life in patients with multiple sclerosis who have fatigue.
ROBOGait: A Mobile Robotic Platform for Human Gait Analysis in Clinical Environments.
Sensors (Basel, Switzerland)
Oct 13, 2021
Mobile robotic platforms have made inroads in the rehabilitation area as gait assistance devices. They have rarely been used for human gait monitoring and analysis. The integration of mobile robots in this field offers the potential to develop multip...
Skilled reach training enhances robotic gait training to restore overground locomotion following spinal cord injury in rats.
Behavioural brain research
Aug 3, 2021
Rehabilitative training has been shown to improve motor function following spinal cord injury (SCI). Unfortunately, these gains are primarily task specific; where reach training only improves reaching, step training only improves stepping and stand t...
Robotic-assisted gait rehabilitation following stroke: a systematic review of current guidelines and practical clinical recommendations.
European journal of physical and rehabilitation medicine
May 5, 2021
INTRODUCTION: Stroke is the third leading cause of adult disability worldwide, and lower extremity motor impairment is one of the major determinants of long-term disability. Although robotic therapy is becoming more and more utilized in research prot...
Exploiting telerobotics for sensorimotor rehabilitation: a locomotor embodiment.
Journal of neuroengineering and rehabilitation
Apr 21, 2021
BACKGROUND: Manual treadmill training is used for rehabilitating locomotor impairments but can be physically demanding for trainers. This has been addressed by enlisting robots, but in doing so, the ability of trainers to use their experience and jud...
Machine learning analysis to predict the need for ankle foot orthosis in patients with stroke.
Scientific reports
Apr 19, 2021
We investigated the potential of machine learning techniques, at an early stage after stroke, to predict the need for ankle-foot orthosis (AFO) in stroke patients. We retrospectively recruited 474 consecutive stroke patients. The need for AFO during ...
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