Controlling Locomotion Over Continuously Varying Activities for Agile Powered Prosthetic Legs

University of Michigan

Status

Enrolling

Conditions

Amputation

Treatments

Device: Powered prosthesis

Study type

Interventional

Funder types

Other

Identifiers

NCT06138977

HUM00230065

Details and patient eligibility

About

The overall goal of this project is to model human joint biomechanics over continuously-varying locomotion to enable adaptive control of powered above-knee prostheses. The central hypothesis of this project is that variable joint impedance can be parameterized by a continuous model based on measurable quantities called phase and task variables. This project will use machine learning to identify variable impedance functions from able-bodied data including joint perturbation responses across the phase/task space to bias the solution toward biological values.

Full description

The overall goal of this project is to model human joint biomechanics over continuously-varying locomotion to enable adaptive control of powered above-knee prostheses. Above-knee amputees often struggle to perform the varying activities of daily life with conventional prostheses due to the lack of positive mechanical work and active control. Emerging powered prostheses have motors that can perform these missing functions, but the biomechanics experienced by the user depend on the control of these motors. The way the prosthesis interacts with both the user and environment can be controlled through joint impedance--the relationship between joint motion and torque. Prosthetic joint impedance is typically defined via a stiffness, viscosity, and equilibrium angle for discrete phases of gait within a limited set of discrete activities, but this framework does not allow continuous variations of steady-state activities (e.g., walking at different speeds/inclines) or continuous transitions between activities (e.g., walk to stair ascent). The central hypothesis of this project is that variable joint impedance can be parameterized by a continuous model based on measurable quantities called phase and task variables. This project will use machine learning to identify variable impedance functions from able-bodied data including joint perturbation responses across the phase/task space to bias the solution toward biological values. The resulting impedance model will be used with real-time estimates of phase and task variables to control a custom powered knee-ankle prosthesis and the Ossur PowerKnee across activities. The clinical trial will comprise the following human subject experiments.

Aim 1.3: N=5 able-bodied subjects will be recruited for initial testing of the walking and stair controllers. Once the powered knee-ankle prosthesis achieves satisfactory performance, we will enroll N=5 amputee subjects to validate these controllers.

Aim 2.3: N=5 able-bodied subjects will be recruited for initial testing of the sit-to-stand and walk-stair transition controllers. Once the powered knee-ankle prosthesis achieves satisfactory performance, we will enroll N=5 amputee subjects to validate these controllers.

Aim 3.1: N=5 amputee subjects will be enrolled to validate the clinical interface for the powered prosthesis controllers.

Aim 3.2: N=5 amputee subjects will be enrolled to validate the transfer of the controllers to the PowerKnee.

Aim 3.3: N=10 amputee subjects will be enrolled in a study of endurance and symmetry outcomes with the PowerKnee compared to their take-home prosthesis.

Enrollment

40 estimated patients

Sex

All

Ages

18 to 65 years old

Volunteers

Accepts Healthy Volunteers

Inclusion and exclusion criteria

Inclusion criteria for able-bodied participants will be:

Aged between 18 to 65 years

Exclusion criteria for able-bodied, young adult participants will be:

Pregnant (self-report)
Any significant neuromuscular or musculoskeletal disorder that would interfere with the study
Unable to walk for 20 minutes
History of any cardiovascular, vestibular, or visual diseases and/or impairments that may interfere with the study
Cognitive deficits that would impair their ability to give informed consent or impair their ability to follow simple instructions during the experiments. In the case of screening for cognitive deficits, the consenting researcher will ask the subject if he/she has any prior history of cognitive deficits.
Adults with a known allergy to medical grade tape

Inclusion criteria for subjects with amputation will be:

Aged between 18 to 70 years.
Weigh less than 250 lbs due to limitations in the design of the prosthesis.
Amputee subjects will be more than two months post independent ambulation with an amputation at the transfemoral level in order to use the above-knee prosthesis.
Amputee subjects will have a mobility classification of K2/K3/K4 ambulators (minimum community ambulatory) and have the ability to ambulate without an assistive device beyond their prosthesis.

Exclusion criteria for subjects with amputation will be:

Weigh over 250 pounds body
Pregnant (self-report)
Any significant neuromuscular or musculoskeletal disorder that would interfere with the study
Inactive or physically unfit, unable to walk for 20 minutes
An excessively long residual limb length, and/or a non-removable cosmetic cover determined by the prosthetist performing the evaluations
Cognitive deficits or visual impairment that would impair their ability to give informed consent or impair their ability to follow simple instructions during the experiments. In the case of screening for cognitive deficits, the consenting researcher will ask the subject if he/she has any prior history of cognitive deficits.
Co-morbidity that interferes with the study (e.g., pace maker placement, severe ischemia, cardiac disease, etc.)
Adults unable to consent
Adults with a known allergy to medical grade tape