AI Medical Compendium Topic:
Gait

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A review in gait rehabilitation devices and applied control techniques.

Disability and rehabilitation. Assistive technology
PURPOSE: The aim of this review is to analyse the different existing technologies for gait rehabilitation, focusing mainly in robotic devices. Those robots help the patient to recover a lost function due to neurological gait disorders, accidents or a...

Robotically-driven orthoses exert proximal-to-distal differential recovery on the lower limbs in children with hemiplegia, early after acquired brain injury.

European journal of paediatric neurology : EJPN : official journal of the European Paediatric Neurology Society
Robotically-driven orthoses (RDO) are promising for treating gait impairment in children with hemiplegia after acquired brain injury (ABI). Despite this, existing literature on the employment of RDO in ABI is scanty, and cohorts' age spans throughout...

Spine morphology and energetics: how principles from nature apply to robotics.

Bioinspiration & biomimetics
Inspired by the locomotive advantages that an articulated spine enables in quadrupedal animals, we explore and quantify the energetic effect that an articulated spine has in legged robots. We compare two model instances of a conceptual planar quadrup...

Training for mobility with exoskeleton robot in spinal cord injury patients: a pilot study.

European journal of physical and rehabilitation medicine
BACKGROUND: Wearable robots are people-oriented robots designed to be worn all day, thus helping in the daily activities. They can assist in walking, running, jumping higher or even lifting objects too heavy in normal conditions.

Biomechanical mechanisms underlying exosuit-induced improvements in walking economy after stroke.

The Journal of experimental biology
Stroke-induced hemiparetic gait is characteristically asymmetric and metabolically expensive. Weakness and impaired control of the paretic ankle contribute to reduced forward propulsion and ground clearance - walking subtasks critical for safe and ef...

A machine learning approach to detect changes in gait parameters following a fatiguing occupational task.

Ergonomics
The purpose of this study is to provide a method for classifying non-fatigued vs. fatigued states following manual material handling. A method of template matching pattern recognition for feature extraction ($1 Recognizer) along with the support vect...

Motor and psychosocial impact of robot-assisted gait training in a real-world rehabilitation setting: A pilot study.

PloS one
In the last decade robotic devices have been applied in rehabilitation to overcome walking disability in neurologic diseases with promising results. Robot assisted gait training (RAGT) using the Lokomat seems not only to improve gait parameters but a...

Systematic Review of Appropriate Robotic Intervention for Gait Function in Subacute Stroke Patients.

BioMed research international
The purpose of this study was to critically evaluate the effects of robot-assisted gait training (RAGT) on gait-related function in patients with acute/subacute stroke. We conducted a systematic review of randomized controlled trials published betwee...

The effects of robot assisted gait training on temporal-spatial characteristics of people with spinal cord injuries: A systematic review.

The journal of spinal cord medicine
CONTEXT: Robotic assisted gait training (RAGT) technology can be used as a rehabilitation tool or as an assistive device for spinal cord injured (SCI) individuals. Its impact on upright stepping characteristics of SCI individuals using treadmill or o...

Automatic recognition of gait patterns in human motor disorders using machine learning: A review.

Medical engineering & physics
BACKGROUND: automatic recognition of human movement is an effective strategy to assess abnormal gait patterns. Machine learning approaches are mainly applied due to their ability to work with multidimensional nonlinear features.