Stroke Clinical Trial
Official title:
Learning-based Control of a Hip Exoskeleton to Improve Balance and Energetics of Human Walking Functions
| NCT number | NCT05447884 |
| Other study ID # | 24671 |
| Secondary ID | |
| Status | Recruiting |
| Phase | N/A |
| First received | |
| Last updated | |
| Start date | June 1, 2022 |
| Est. completion date | December 31, 2025 |
Robotic lower limb exoskeletons aim to improve or augment limb functions. Automatic modulation of robotic assistance is very important because it can increase the assistive outcomes and guarantee safety when using exoskeletons. However, this automatic assistance adjustment is challenging due to person-to-person and day-to-day variations, as well as the time-varying complex human-machine-interaction forces. In recent years, human-in-the-loop optimization methods have been investigated to reduce participants' metabolic costs by providing personalized assistance from robotic exoskeletons. However, metabolic cost measure is noisy and the experimental protocol is usually relatively long. In addition, the influence of exoskeleton control on this human state in terms of energetic cost is unclear and indirect. More importantly, the optimization by reducing metabolic cost is found to affect human gait patterns and cause undesired outcomes. In this study, new evaluation measures other than metabolic cost will be investigated to optimize the assistance from a powered hip exoskeleton based on a reinforcement learning method. It is hypothesized that the new reinforcement learning-based optimal control approach will produce personalized torque assistance, reduce human volitional effort, and improve balance and other performance during walking tasks. Both participants without and with neurological disorders will be included in this study.
| Status | Recruiting |
| Enrollment | 100 |
| Est. completion date | December 31, 2025 |
| Est. primary completion date | December 31, 2024 |
| Accepts healthy volunteers | Accepts Healthy Volunteers |
| Gender | All |
| Age group | 18 Years to 64 Years |
| Eligibility | Inclusion Criteria for non-neurologically affected populations: - Between 18 and 64 years old - Live in the United States - Able to understand study requirements and sign an informed consent - Have full range of motion in your hip joint - Able to walk normally without any assistance. Exclusion Criteria for non-neurologically affected populations: - Cannot follow instructions or provide feedback due to cognitive or language limitations - Suffered from a stroke that affects balance or walking - Use an electronically controlled medical device, such as a pacemaker, implanted defibrillator, or drug pump - Pregnancy - Experience numbness, tingling, muscle weakness, pain, or paralysis in any part of your body - Cannot walk or balance without help from a person or a tool, such as a walker or cane - Limited movement in your hip or ankle - You have any skin-related allergies or irritation to adhesives - Have blood circulation, heart, metabolic, or cognitive disorders, including but not limited to: Peripheral vascular disease, Pitting edema, Heart disease, Diabetes (uncontrolled), Seizures, and Cognitive diagnoses that affect their ability to process information. Inclusion Criteria for subjects who suffered a stroke: - Between 18 and 64 years old - Live in the United States - Able to understand study requirements and sign an informed consent - Have weakness on one side of their body due to a stroke within the past 6 months - Have the doctor confirm that the subjects had a stroke within the past 6 months - Can walk without any assistance for at least 6 minutes and 1000 feet (a little less than a quarter-mile) - Can walk at a speed of 1 mile per hour - Have normal or corrected-to-normal vision and hearing - Capable of safely stepping on stairs without an Ankle-Foot Orthosis but may use canes as needed Exclusion Criteria for subjects who suffered a stroke: - Cannot follow instructions or provide feedback due to cognitive, spatial awareness, and/or language limitations - Are pregnant - Cannot walk without an ankle-foot brace or a therapist's assistance - Cannot walk or balance without the help of a tool, such as a walker or cane - Have vision, balance, or reaching issues unrelated to stroke - Use an electronically controlled medical device, such as a pacemaker, implanted defibrillator, or drug pump - Have numbness, tingling, muscle weakness, or pain in any part of your body - Have any skin related allergies or irritation to adhesives - Have blood circulation, heart, metabolic, or cognitive disorders, including but not limited to: Peripheral vascular disease, Pitting edema, Heart disease, Diabetes (uncontrolled), and Seizures. |
| Country | Name | City | State |
|---|---|---|---|
| United States | North Carolina State University | Raleigh | North Carolina |
| Lead Sponsor | Collaborator |
|---|---|
| North Carolina State University | University of North Carolina, Chapel Hill |
United States,
M. Li, Y. Wen, X. Gao, J. Si, and H. Huang, "Toward expedited impedance tuning of a robotic prosthesis for personalized gait assistance by reinforcement learning control," IEEE Trans. Robot., vol. 38, no. 1, pp. 407-420, 2022.
Wen Y, Si J, Brandt A, Gao X, Huang HH. Online Reinforcement Learning Control for the Personalization of a Robotic Knee Prosthesis. IEEE Trans Cybern. 2020 Jun;50(6):2346-2356. doi: 10.1109/TCYB.2019.2890974. Epub 2019 Jan 16. — View Citation
X. Tu, M. Li, M. Liu, J. Si, and H. H. Huang, "A data-driven reinforcement learning solution framework for optimal and adaptive personalization of a hip exoskeleton," in 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021, pp. 10 61
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | Human lower limb joints angular position | The investigators will measure the angular position [rad] on the left and right hip joints by using the embedded incremental encoders that are installed on the hip exoskeleton.
The investigators will measure the angular position [rad] on the left and right knee and ankle joints using the motion capture system containing the 3-dimensional coordinates of reflective markers. |
Through study completion, an average of 55 months. | |
| Primary | Human lower limb joints angular velocity | The investigators will measure the angular velocity [rad/sec] on the left and right hip joints by using the embedded incremental encoders that are installed on the hip exoskeleton.
The investigators will measure the angular velocity [rad/sec] on the left and right knee and ankle joints using the motion capture system containing the 3-dimensional coordinates of reflective markers. The calculation of the angular velocity is the time-derivative of the angular position in the unit of [mm]. |
Through study completion, an average of 55 months. | |
| Secondary | Human walking stride length | The investigators will measure the walking stride length [mm] of the left and right legs using the motion capture system containing the 3-dimensional coordinates of reflective markers on each foot. | Through study completion, an average of 55 months. | |
| Secondary | Human walking symmetry | The investigators will calculate the gait symmetry (normalized value between -1 and 1) based on the measurements of left and right stride length [mm]. | Through study completion, an average of 55 months. | |
| Secondary | Human lower limb joints torque | The investigators will measure the biological joint torque [Nm] on each joint of the lower extremities.
The investigators will measure the assistance torque [Nm] from the hip exoskeleton. |
Through study completion, an average of 55 months. | |
| Secondary | Human lower limb joints power | The investigators will measure the biological joint power [W] on each joint of the lower extremities.
The investigators will measure the assistance power [W] from the hip exoskeleton. |
Through study completion, an average of 55 months. | |
| Secondary | Human lower limb muscles activity | The investigator will measure the lower limb muscle activity (muscle electrical signal in the unit of volts) [V] by using seven-channel surface electromyography sensors on both left and right legs, including one on the lower hip, two on the back thigh, two on the front thigh, one on the front shank, and one on the back shank. | Through study completion, an average of 55 months. | |
| Secondary | Human walking energy expenditure | The investigators will measure the oxygen consumption [mm^3/min] and carbon dioxide generation [mm^3/min] during the walking experiments by using the wearable mask-type breath sensor.
The calculation of the measure of oxygen consumption and carbon dioxide generation is the averaged value among a certain amount of time in the unit of minutes. |
Through study completion, an average of 55 months. |
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