AIMC Topic: Walking
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Deep Learning for Multiple Sclerosis Differentiation Using Multi-Stride Dynamics in Gait.
IEEE transactions on bio-medical engineering
Jul 1, 2023
OBJECTIVE: Multiple sclerosis (MS) is a chronic neurological condition of the central nervous system leading to various physical, mental and psychiatric complexities. Mobility limitations are amongst the most frequent and early markers of MS. We eval...
[Analysis on Key Points of Safety and Effectiveness Evaluation of Wearable Rehabilitation Walking Aid Robot].
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Feb 8, 2023
OBJECTIVE: To analyze the key points of evaluation on the safety and effectiveness of wearable rehabilitation walking aid robot, then improve its quality control ability.
Effects of end-effector robot-assisted gait training on gait ability, muscle strength, and balance in patients with spinal cord injury.
NeuroRehabilitation
Jan 1, 2023
BACKGROUND: There is no randomized controlled study about the effects of end-effector robot-assisted gait training (RAGT) in patients with spinal cord injury (SCI).
Simulation study on assist-as-needed control of a rehabilitation robotic walker.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2023
BACKGROUND: Along with China entering an aging society, the percentage of people that over 60 will reach 34.9% in 2050, resulted in a significant increase in stroke patients.
Artificial Intelligence and Clinical Reasoning-a Way to Walk to Harrison's.
Journal of general internal medicine
Jan 1, 2023
Development of a Belt-actuated Robotic Platform for Early Rehabilitation.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jul 1, 2022
In order to promote early rehabilitation, we proposed a system which provides full-body arm-leg training for patients in a bed-lying position. As the preliminary development, a platform for leg movement was investigated. An innovative system with fou...
Stair Recognition for Robotic Exoskeleton Control using Computer Vision and Deep Learning.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jul 1, 2022
Computer vision can be used in robotic exoskeleton control to improve transitions between different locomotion modes through the prediction of future environmental states. Here we present the development of a large-scale automated stair recognition s...
Modeling the Influence of the Human Form and Ambulation Context on Moment- and Power-Generating Abilities of Soft Hip-Flexion Exosuits.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jul 1, 2022
Exosuits are close-fitting devices, which are meant to be worn without restricting the motion of the user in the way that a rigid device would. These soft devices augment lower-limb biomechanics by using flexible, joint-spanning linear elements that ...
Improving Ankle Muscle Recruitment via Plantar Pressure Biofeedback during Robot Resisted Gait Training in Cerebral Palsy.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jul 1, 2022
Neurological impairment from stroke or cerebral palsy often presents with diminished ankle plantar flexor function during the propulsive phase of gait. This deficit often results in slow, energy-expensive walking patterns that limit community mobilit...
A stretchable sensor for force estimation in soft wearable robots.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jul 1, 2022
Soft wearable robots to assist human movements, such as exosuits, have rapidly gained attention thanks to their compliance, low weight and accessibility. However, force measurement in exosuits still rely on load cells and rigid sensors that are not w...
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