Powered Prosthetic Leg
Powered Prosthetic Leg - Related Videos
11:16
Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
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Cited by 15 •
2014
Neural-machine interfaces (NMI) have been developed to identify the user's locomotion mode. These NMIs are potentially useful for neural control of powered artificial legs, but have not been fully demonstrated. This paper presented (1) our designed engineering platform for easy implementation and development of neural control for powered lower limb prostheses and (2) an experimental setup and protocol in a laboratory environment to evaluate neurally-controlled artificial legs on patients with...
06:58
A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
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Cited by 34 •
2015
As prosthetic development moves towards the goal of natural control, harnessing amputees’ inherent ability to learn new motor skills may enable proficiency. This manuscript describes a structured rehabilitation protocol, which includes imitation, repetition, and reinforcement learning strategies, for improved multifunctional prosthetic control.
08:04
Customizing a Cryolite Glass Prosthetic Eye
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Cited by 12 •
2019
This manuscript shows each step of customizing a cryolite glass prosthetic eye including some major advantages of the use of cryolite glass for manufacturing an eye prosthesis compared to poly(methyl methacrylate). In addition, this manuscript gives ophthalmologists better insight into the ocularistic care that could improve interprofessional collaboration.
01:23
Muscles that Move the Leg
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2024
The movement of the legs is facilitated by numerous muscles located within the anterior, medial, and posterior compartments of the thigh. Anterior Compartment The quadriceps femoris, the most visible muscle of the anterior compartment, is integral for leg extension and thigh flexion. It is formed by merging four distinct muscles — the vastus lateralis, vastus medialis, vastus intermedius, and rectus femoris. The quadriceps tendon, a shared tendon of the four quadriceps muscles, is affixed to...
07:23
An Optimized Protocol for the Efficient Radiolabeling of Gold Nanoparticles by Using a 125I-labeled Azide Prosthetic Group
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Cited by 5 •
2016
A detailed procedure for the synthesis of a 125I-labeled azide and the radiolabeling of dibenzocyclooctyne (DBCO)-group-conjugated, 13-nm-sized gold nanoparticles using a copper-free click reaction is described.
FAQs
Sensors detect information about the user’s movement, while the control system interprets that information in relation to phases of the gait cycle. Motors and mechanical joints then provide coordinated torque at appropriate points in the movement. This interaction allows the device to respond to changing walking demands rather than producing a fixed, repetitive motion.
Neural or muscular signals can provide information about a user’s movement intent. Integrating these signals with biomechanics and robotics helps the control system distinguish what movement the user is trying to perform and coordinate assistance accordingly. This human-machine interface is important for developing prostheses that respond more naturally during walking and daily activities.
A passive prosthesis does not actively generate movement, whereas a powered system uses motors to provide torque during the gait cycle. Active assistance can support goals such as improved balance, energy efficiency, and adaptability across environments. These differences make powered designs relevant when users need more responsive support for walking, climbing, or other daily activities.
Bioengineering combines biomechanics, robotics, signal-based control, and user-centered design to address both mechanical performance and the user’s experience. Biomechanics informs movement requirements, robotics supports actuation and joint function, and user-centered design keeps comfort and practical use in view. Together, these areas guide development toward mobility assistance that is responsive and adaptable.
During use, the system first detects movement-related information, then interprets the user’s intent and the current phase of the gait cycle. Its control system coordinates motor output and joint movement to provide torque where assistance is needed. This sequence links sensing, decision-making, and actuation, allowing support to change as the user walks or climbs.
They are relevant after limb loss when rehabilitation aims to restore mobility and support daily activities. Researchers also study them across different environments to improve balance, energy efficiency, comfort, and adaptability. Beyond clinical mobility, this work advances human-machine interfaces and informs the broader development of responsive assistive technologies for users with changing movement needs.