Assistive Hip Exoskeleton Study for Stroke

Stroke Clinical Trial

Official title: Improving Community Ambulation for Stroke Survivors Using Powered Hip Exoskeletons With Adaptive Environmental Controllers

Status Completed

Clinical Trial Summary

The increased metabolic and biomechanical demands of ambulation limit community mobility in persons with lower limb disability due to neurological damage. There is a critical need for improving the locomotion capabilities of individuals with stroke to increase their community mobility, independence, and health. Robotic exoskeletons have the potential to assist these individuals by increasing community mobility to improve quality of life. While these devices have incredible potential, current technology does not support dynamic movements common with locomotion such as transitioning between different gaits and supporting a wide variety of walking speeds. One significant challenge in achieving community ambulation with exoskeletons is providing an adaptive control system to accomplish a wide variety of locomotor tasks. Many exoskeletons today are developed without a detailed understanding of the effect of the device on the human musculoskeletal system. This research is interested in studying the question of how the control system affects stroke biomechanics including kinematic, kinetics and muscle activation patterns. By optimizing exoskeleton controllers based on human biomechanics and adapting control based on task, the biggest benefit to patient populations will be achieved to help advance the state-of-the-art with assistive hip exoskeletons.

Clinical Trial Description

One significant challenge in achieving community ambulation with exoskeletons is providing an adaptive control system to accomplish a wide variety of locomotor tasks. Many exoskeletons today are developed without a detailed understanding of the effect of the device on the human musculoskeletal system. The study is interested in exploring the question of how the control system affects human biomechanics including kinematic, kinetics and muscle activation patterns. By optimizing exoskeleton controllers based on human biomechanics and adapting control based on task, this work will be able to provide the biggest benefit to patients and advance the state-of-the-art with assistive hip exoskeletons. A large patient population that could benefit from lower limb assistive technology are stroke survivors, which is the specific population this proposal targets. One common characteristic of stroke survivors who regain their ability to walk is that the hip muscles are overtaxed due to distal weakness. The investigators propose to use a powered hip exoskeleton to augment their proximal musculature, which needs to produce significant power output in most locomotion activities such as standing up, walking, and going up stairs or slopes. Another biomechanical aspect of stroke survivors is an asymmetric gait in terms of kinematics, kinetics and muscle activations. The research will examine what kind of exoskeleton assistance is most beneficial to stroke survivors for enhancing community ambulation. The hypothesis is that since the gait is asymmetric, the controller will need to be asymmetric to provide optimal assistance to aid in mobility. The long-term research goal is to create powered assistive exoskeletons devices that are of great value to individuals with serious lower limb disabilities by improving clinical outcomes such as walking speed and community ambulation ability. The overall objective of the proposed project is to study the biomechanical effects of using a hip exoskeleton with adaptive controllers for assisting stroke survivors with lower limb deficits to improve their community ambulation capabilities. The central hypothesis overarching both aims is that exoskeleton control that adapts to environmental terrain will improve mobility metrics for human exoskeleton users on community ambulation tasks. The rationale is that since human biomechanics change based on task, exoskeleton controllers likewise need to optimize their assistance levels to match what the human is doing. The team has previously designed and extensively tested an autonomous hip exoskeleton in able-bodied subjects on a treadmill and plan to follow this up with a separate study on able bodied subjects during overground locomotion of walking, stairs, and ramps. The aim of this study is to translate an autonomous robotic hip exoskeleton to provide adaptive assistance in community ambulation for stroke survivors with mobility impairment. The team will analyze the biomechanical effects and clinical benefits with using an autonomous hip exoskeleton for a walking impaired user (due to stroke). The primary hypothesis for this aim is that stroke survivors will increase their mobility in community ambulation tasks using the adaptive control framework. A sub-hypothesis is that stroke survivors who present with unilateral impairment will have superior biomechanical and clinical outcomes using a controller with asymmetric assistance. The investigators expect a controller that provides a greater assistance to the impaired side to improve overall symmetry and help the stroke survivor maintain a more efficient gait pattern to help improve walking speed (primary outcome measure). The expected outcome of these aims will be an increased understanding of the biomechanical and clinical effects in applying hip assistance with a robotic exoskeleton in community ambulation tasks such as overground walking, ramps and stairs. This work will serve as a foundational start for a broader planned study of optimizing controllers to improve biomechanics in the walking impaired using powered hip autonomous exoskeletons. This aim will have a positive impact by helping to inform the design and control of future exoskeleton for assisting individuals with lower limb disabilities, with specific insight in stroke survivors with mobility impairment. ;

Related Conditions & MeSH terms

• Leg Injuries
• Lower Limb Injury
• Stroke

• NCT number: NCT03924765
• Study type: Interventional
• Source: Georgia Institute of Technology
• Status: Completed
• Phase: N/A
• Start date: July 24, 2019
• Completion date: November 19, 2020