AIMC Topic: Gait Disorders, Neurologic
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Evidence-based improvement of gait in post-stroke patients following robot-assisted training: A systematic review.
NeuroRehabilitation
Jan 1, 2022
BACKGROUND: The recovery of walking after stroke is a priority goal for recovering autonomy. In the last years robotic systems employed for Robotic Assisted Gait Training (RAGT) were developed. However, literature and clinical practice did not offer ...
Comparative effects of passive and active mode robot-assisted gait training on brain and muscular activities in sub-acute and chronic stroke.
NeuroRehabilitation
Jan 1, 2022
BACKGROUND: Robot-assisted gait training (RAGT) was initially developed based on the passive controlled (PC) mode, where the target or ideal locomotor kinematic trajectory is predefined and a patient basically 'rides' the robot instead of actively pa...
Effect of gait rehabilitation with a footpad-type locomotion interface on gait ability in subacute stroke patients.
NeuroRehabilitation
Jan 1, 2022
BACKGROUND: Gait rehabilitation using a footpad-type locomotion interface has been reported as effective in improving gait ability in chronic stroke patients. However, the effect on subacute stroke patients is unknown.
Effects of robot (SUBAR)-assisted gait training in patients with chronic stroke: Randomized controlled trial.
Medicine
Dec 3, 2021
BACKGROUND: SUBAR is a new ground walking exoskeletal robot. The objective of this study is to investigate SUBAR-assisted gait training's effects in patients with chronic stroke.
Robotic-assisted locomotor treadmill therapy does not change gait pattern in children with cerebral palsy.
International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation
Mar 1, 2021
Although robotic-assisted locomotor treadmill therapy is utilized on children with cerebral palsy (CP), its impact on the gait pattern in childhood is not fully described. We investigated the outcome of robotized gait training focusing on the gait pa...
Effect of robot-assisted gait training on gait automaticity in Parkinson disease: A prospective, open-label, single-arm, pilot study.
Medicine
Feb 5, 2021
Gait automaticity is reduced in patients with Parkinson disease (PD) due to impaired habitual control. The aim of this study was to investigate the effect of robot-assisted gait training (RAGT) on gait automaticity as well as gait speed and balance i...
The effect of robot-assisted gait training on cortical activation in stroke patients: A functional near-infrared spectroscopy study.
NeuroRehabilitation
Jan 1, 2021
OBJECTIVE: To investigate the effects of the robot-assisted gait training on cortical activation and functional outcomes in stroke patients.
Treadmill-Based Locomotor Training With Robotic Pelvic Assist and Visual Feedback: A Feasibility Study.
Journal of neurologic physical therapy : JNPT
Jul 1, 2020
BACKGROUND AND PURPOSE: Gait asymmetries are common after stroke, and often persist despite conventional rehabilitation. Robots provide training at a greater practice frequency than conventional approaches. However, prior studies of have found the tr...
Effects of trunk stabilization training robot on postural control and gait in patients with chronic stroke: a randomized controlled trial.
International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation
Jun 1, 2020
Our study aimed to confirm the therapeutic effects of using a trunk stabilization training robot (3DBT-33) in patients with chronic stroke. A total of 38 patients with chronic stroke were randomly assigned to either an experimental or a control group...
Technology-Based Objective Measures Detect Subclinical Axial Signs in Untreated, de novo Parkinson's Disease.
Journal of Parkinson's disease
Jan 1, 2020
BACKGROUND: Technology-based objective measures (TOMs) recently gained relevance to support clinicians in the assessment of motor function in Parkinson's disease (PD), although limited data are available in the early phases.
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