National Taiwan University Hospital
Taipei,Taiwan, Taiwan
Location status: Recruiting
NCT Number: NCT05650255
Although exoskeletons have been studied for many years, actual products have been sold on the market. However, there are still many limitations in the practical application of exoskeletons, and the control logic is also limited to the level of motor torque compensation, and lacks the consideration of overall motion stability (such as whether the wearer (driving, pilot) will fall). The purpose of this project is to establish a digital twin of this driving, which will perform the driving action in parallel, and calculate in parallel in the virtual environment the torque required to provide each joint torque to maintain stable walking without falling, and this torque can be used as a monitoring basis for the auxiliary torque of each axis for the exoskeleton. When the exoskeleton's movements are out of range of a stable gait, the controller can warn and attenuate the output of auxiliary forces, and on the other hand, it has the opportunity to analyze whether the intention of driving is to switch the movement mode - such as stopping, or sitting, squatting, etc.
Interested in participating?
Request Info18 year–80 year
All sexes
Interventional
Not applicable
Taipei,Taiwan, Taiwan
Location status: Recruiting
This project is expected to use different machine learning models to make accurate predictions of human intent when healthy people drive different actions or action transitions of common human actions. Drivers will wear sensors such as inertial measurement unit (IMU) and electromyography (EMG) in the lower limbs to measure body signals of participants during actions in a non-invasive way, and let the system calculate the joint angle, angular velocity and angular acceleration of each joint of the driving lower limb related human signals.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
The purpose of this project is to establish a digital twin of this driving, which will perform the driving action in parallel, and calculate in parallel in the virtual environment the torque required to provide each joint torque to maintain stable walking without falling, and this torque can be used as a monitoring basis for the auxiliary torque of each axis for the exoskeleton. When the exoskeleton's movements are out of range of a stable gait, the controller can warn and attenuate the output of auxiliary forces, and on the other hand, it has the opportunity to analyze whether the intention of driving is to switch the movement mode - such as stopping, or sitting, squatting, etc.
Time frame: 3 years
The angles of the subject's joints (unit: degree) are performed by using IMU sensors when subjects do some action such as standing, walking or sitting.
Time frame: 3 years
The activities of muscles state of human movement (unit: millivolt or %) are performed by using EMG sensors when subjects do some action such as standing, walking, sitting, squatting or step-up.
Time frame: 3 years
The comprehensive intention time of the human body (unit: second) is performed by using IMU sensors and EMG sensors when subjects do some action such as standing, walking, sitting, squatting or step-up.
Contact information is provided by the study sponsor or research team.
National Taiwan University Hospital
Other
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.