AIMC Topic: Walking
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Comparison of the dynamics of exoskeletal-assisted and unassisted locomotion in an FDA-approved lower extremity device: Controlled experiments and development of a subject-specific virtual simulator.
PloS one
Feb 10, 2023
Robotic exoskeletons have considerable, but largely untapped, potential to restore mobility in individuals with neurological disorders, and other conditions that result in partial or complete immobilization. The growing demand for these devices neces...
Dynamic analysis and control of a hybrid lower limb rehabilitation robot to reduce human-robot interaction forces.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Feb 2, 2023
This study presents a model of cooperation between two planar manipulators including an orthosis and a programmable plate in form of a hybrid lower limb rehabilitation robot, which was designed and built at the University of Guilan. The aims of coope...
The effect of robot-assisted gait training frequency on walking, functional recovery, and quality of life in patients with stroke.
Acta neurologica Belgica
Jan 30, 2023
AIM: This study aims to investigate the effects of robot-assisted gait training (RAGT) frequency on walking, functional recovery, QoL and mood.
Effects of Timed Frontal Plane Pelvic Moments During Overground Walking With a Mobile TPAD System.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jan 30, 2023
Robotic gait training may improve overground ambulation for individuals with poor control over pelvic motion. However, there is a need for an overground gait training robotic device that allows full control of pelvic movement and synchronizes applied...
Application of Feedforward and Recurrent Neural Networks for Fusion of Data from Radar and Depth Sensors Applied for Healthcare-Oriented Characterisation of Persons' Gait.
Sensors (Basel, Switzerland)
Jan 28, 2023
In this paper, the useability of feedforward and recurrent neural networks for fusion of data from impulse-radar sensors and depth sensors, in the context of healthcare-oriented monitoring of elderly persons, is investigated. Two methods of data fusi...
Stable Heteroclinic Channel Networks for Physical Human-Humanoid Robot Collaboration.
Sensors (Basel, Switzerland)
Jan 26, 2023
Human-robot collaboration is one of the most challenging fields in robotics, as robots must understand human intentions and suitably cooperate with them in the given circumstances. But although this is one of the most investigated research areas in r...
Effect of cyborg-type robot Hybrid Assistive Limb on patients with severe walking disability in acute stroke: A randomized controlled study.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Jan 24, 2023
OBJECTIVES: To investigate whether early gait training using Hybrid Assistive Limb (HAL) is feasible and improves walking and independency compared with conventional physical therapy (CPT) in patients with severe walking disability after stroke.
Cost-effectiveness analysis of overground robotic training versus conventional locomotor training in people with spinal cord injury.
Journal of neuroengineering and rehabilitation
Jan 21, 2023
BACKGROUND: Few, if any estimates of cost-effectiveness for locomotor training strategies following spinal cord injury (SCI) are available. The purpose of this study was to estimate the cost-effectiveness of locomotor training strategies following sp...
Remote control of muscle-driven miniature robots with battery-free wireless optoelectronics.
Science robotics
Jan 18, 2023
Bioengineering approaches that combine living cellular components with three-dimensional scaffolds to generate motion can be used to develop a new generation of miniature robots. Integrating on-board electronics and remote control in these biological...
Prediction of knee adduction moment using innovative instrumented insole and deep learning neural networks in healthy female individuals.
The Knee
Jan 17, 2023
BACKGROUND: The knee adduction moment, a biomechanical risk factor of knee osteoarthritis, is typically measured in a gait laboratory with expensive equipment and inverse dynamics modeling software. We aimed to develop a framework for a portable knee...
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