AIMC Topic: Gait

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Neuro-Rehabilitation Therapy with T-FLEX Ankle Exoskeleton and Serious Games: A Case Study.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Acquired Brain Injury (ABI) causes permanent disabilities, such as foot drop. This condition affects the gait pattern, increasing the metabolic cost and risk of falling. Robotics with serious games has shown promising results in the gait rehabilitati...

Feasibility Study: Towards a Robot-Assisted Gait Training in Ophthalmological Rehabilitation.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
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...

1D-Convolutional Neural Networks can Quantify Therapy Content of Children and Adolescents Walking in a Robot-Assisted Gait Trainer.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Therapy content, consisting of device parameter settings and therapy instructions, is crucial for an effective robot-assisted gait therapy program. Settings and instructions depend on the therapy goals of the individual patient. While device paramete...

Individualized Three-Dimensional Gait Pattern Generator for Lower Limbs Rehabilitation Robots.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
In the field of robotic gait rehabilitation, controlling robotic devices to follow specific human-like trajectories is often required. In recent years, various gait generator models have been proposed, providing customized gait patterns adjustable to...

Convolutional Neural Network for Estimating Spatiotemporal and Kinematic Gait Parameters using a Single Inertial Sensor.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Lower limb disability severely impacts gait, thus requiring clinical interventions. Inertial sensor systems offer the potential for objective monitoring and assessment of gait in and out of the clinic. However, it is imperative such systems are capab...

Feature Learning Networks for Floor Sensor-based Gait Recognition.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Deep learning (DL) has become a powerful tool in many image classification applications but often requires large training sets to achieve high accuracy. For applications where the available data are limited, this can become a severely limiting factor...

Automated structuring of gait data for analysis purposes - A deep learning pilot example.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Clinical gait analysis can help diagnose ambulatory children with cerebral palsy and provide treatment recommendations. This group represents the largest group of children with gait problems. Currently, the workflow for 3D gait analysis involves a co...

Deep Learning for Multiple Sclerosis Differentiation Using Multi-Stride Dynamics in Gait.

IEEE transactions on bio-medical engineering
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...

A double-channel multiscale depthwise separable convolutional neural network for abnormal gait recognition.

Mathematical biosciences and engineering : MBE
Abnormal gait recognition is important for detecting body part weakness and diagnosing diseases. The abnormal gait hides a considerable amount of information. In order to extract the fine, spatial feature information in the abnormal gait and reduce t...

Effects of end-effector robot-assisted gait training on gait ability, muscle strength, and balance in patients with spinal cord injury.

NeuroRehabilitation
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).