AIMC Topic: Walking Speed
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Using a Deep Learning Method and Data from Two-Dimensional (2D) Marker-Less Video-Based Images for Walking Speed Classification.
Sensors (Basel, Switzerland)
Apr 17, 2021
Human body measurement data related to walking can characterize functional movement and thereby become an important tool for health assessment. Single-camera-captured two-dimensional (2D) image sequences of marker-less walking individuals might be a ...
Individualized Gait Generation for Rehabilitation Robots Based on Recurrent Neural Networks.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Mar 1, 2021
Individualized reference gait patterns for lower limb rehabilitation robots can greatly improve the effectiveness of rehabilitation. However, previous methods can only generate customized gait patterns at several fixed discrete walking speeds and gen...
Effects of Robotic Exoskeleton-Aided Gait Training in the Strength, Body Balance, and Walking Speed in Individuals With Multiple Sclerosis: A Single-Group Preliminary Study.
Archives of physical medicine and rehabilitation
Nov 9, 2020
OBJECTIVE: To assess effects of 15 exoskeleton-assisted gait training sessions, reflected by the muscle strength of the lower limbs and by walking speed immediately after the training sessions and at the 6-week follow-up.
Electromechanical-assisted training for walking after stroke.
The Cochrane database of systematic reviews
Oct 22, 2020
BACKGROUND: Electromechanical- and robot-assisted gait-training devices are used in rehabilitation and might help to improve walking after stroke. This is an update of a Cochrane Review first published in 2007 and previously updated in 2017.
Activity-based training with the Myosuit: a safety and feasibility study across diverse gait disorders.
Journal of neuroengineering and rehabilitation
Oct 8, 2020
BACKGROUND: Physical activity is a recommended part of treatment for numerous neurological and neuromuscular disorders. Yet, many individuals with limited mobility are not able to meet the recommended activity levels. Lightweight, wearable robots lik...
A biomechanical comparison of powered robotic exoskeleton gait with normal and slow walking: An investigation with able-bodied individuals.
Clinical biomechanics (Bristol, Avon)
Jul 29, 2020
BACKGROUND: Overground lower-limb robotic exoskeletons are assistive devices used to facilitate ambulation and gait rehabilitation. Our understanding of how closely they resemble comfortable and slow walking is limited. This information is important ...
Development and validation of a robotic multifactorial fall-risk predictive model: A one-year prospective study in community-dwelling older adults.
PloS one
Jun 25, 2020
BACKGROUND: Falls in the elderly are a major public health concern because of their high incidence, the involvement of many risk factors, the considerable post-fall morbidity and mortality, and the health-related and social costs. Given that many fal...
[Robot therapy with the H2 exoskeleton for gait rehabilitation in patients with incomplete spinal cord injry. A clinical experience].
Rehabilitacion
Mar 31, 2020
BACKGROUND AND OBJECTIVE: Robotic exoskeletons have emerged as a promising tool in gait rehabilitation in patients with a spinal cord injury. The aim of this study was to assess the clinical applicability of a new robotic exoskeleton model (Exo H2) i...
Spinal Cord Injuries
Fatigue
Walking Speed
Exoskeleton Device
Gait Disorders, Neurologic
Young Adult
Humans
Pain Perception
Male
Adult
Prospective Studies
Crutches
Pain Measurement
Middle Aged
Visual Analog Scale
Female
Treatment Outcome
Gait
Pilot Projects
Walkers
Neuronal Plasticity
Prosthesis Design
Muscle Strength
Gait Analysis
Robotics
The detection of age groups by dynamic gait outcomes using machine learning approaches.
Scientific reports
Mar 10, 2020
Prevalence of gait impairments increases with age and is associated with mobility decline, fall risk and loss of independence. For geriatric patients, the risk of having gait disorders is even higher. Consequently, gait assessment in the clinics has ...
Highest ambulatory speed using Lokomat gait training for individuals with a motor-complete spinal cord injury: a clinical pilot study.
Acta neurochirurgica
Dec 24, 2019
BACKGROUND: Motor impairment and loss of ambulatory function are major consequences of a spinal cord injury (SCI). Exoskeletons are robotic devices that allow SCI patients with limited ambulatory function to walk. The mean walking speed of SCI patien...
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