Powered Hip Exoskeleton Assistance Study

Lower Limb Injury Clinical Trial

Official title:

Development of a Powered Exoskeleton Device for Lower Limb Assistance

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT03924752
• Other study ID #: H19178
• Status: Completed
• Phase: N/A
• Start date: February 13, 2021
• Est. completion date: March 15, 2021

Study information

• Verified date: January 2022
• Source: Georgia Institute of Technology
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

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 who have walking impairments due to disease 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 human 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.

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 team 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 group's 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 first aim of the proposed study is to determine the benefit of exoskeleton control that adapts to the environment for improving community ambulation capability. The team has previously designed and extensively tested an autonomous hip exoskeleton in able-bodied subjects on a treadmill. The investigators plan to extend their control framework to over ground walking and tune assistance magnitude and timing levels to enable efficient locomotion over stairs and ramps on their novel terrain park. The investigators plan to compare a controller that adapts its assistance strategy based on locomotion task to a static controller as well as not wearing the exoskeleton. The primary hypothesis for this aim is that exoskeleton control that adapts to environmental terrain will improve mobility metrics such as task completion speed for human exoskeleton users on community ambulation tasks. 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.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 10
• Est. completion date: March 15, 2021
• Est. primary completion date: March 15, 2021
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 18 Years to 85 Years

Eligibility

Inclusion Criteria:

• Between 18-85 years of age

• Subjects should be capable of walking, ascending/descending stairs and ramps with full capability in lower extremity passive range of motion (knee flexion contracture of >10 degrees, knee flexion ROM < 90 degrees, hip flexion contracture < 25 degrees, and ankle plantar flexion contracture of >15 degrees).

• Subjects must be able to walk for at least 5 minutes and willing and able to participate over a 1-6 hours experiment with breaks and rest enforced regularly and as needed.

• Subjects must be able to transfer (sit-to-stand and stand-to-sit) with no external support (arm rests OK) and to ambulate over small slopes (3 degrees) and a few steps (6 steps).

Exclusion Criteria:

• History of neurological injury, gait pathology, or cardiovascular condition that would limit your ability to ambulate for multiple hours.

Related Conditions & MeSH terms

• Leg Injuries
• Lower Limb Injury

Intervention

Device:
• Powered hip exoskeleton
The study team will test a powered hip exoskeleton and its capability to improve locomotion.

Locations

Country	Name	City	State
United States	Exoskeleton and Prosthetic Intelligent Controls Lab	Atlanta	Georgia

Sponsors (1)

Lead Sponsor	Collaborator
Georgia Institute of Technology

Country where clinical trial is conducted

United States, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Self-Selected Walking Speed Using Hip Exoskeleton Assistance Across Different Locomotion Modes	Measure Description: The subject's preferred overground walking speed while wearing a powered hip exoskeleton was recorded. During walking, the exoskeleton provided hip assistance. There was a total of five walking conditions that were evaluated: 1) level-ground, 2) ramp ascent, 3) ramp descent, 4) stair ascent and 5) stair descent. The ramp incline was set to 9.2 degrees and the stair height was set to 15.24 cm. The user's preferred walking speed was calculated by looking at the distance traveled divided by time for a given walking condition. The distance was fixed and a completion time for each trial was recorded with a computer timer to calculate the average walking velocity for a given trial.	4 hours