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Updated: Feb 9, 2026

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
Published on: July 22, 2014
Design and Control of a New Biomimetic Transfemoral Knee Prosthesis Using an Echo-Control Scheme
Mario G Bernal-Torres1, Hugo I Medellín-Castillo1, Juan C Arellano-González1
1Facultad de Ingeniería, Av. Dr. Manuel Nava No. 8, Universidad Autónoma de San Luis Potosí, 78290 San Luis Potosí, SLP, Mexico.
This study introduces a new biomimetic transfemoral knee prosthesis that accurately mimics natural human knee movement. The novel echo-control strategy synchronizes the prosthesis with the sound leg, improving walking performance and reducing metabolic energy expenditure.
Area of Science:
- Biomedical Engineering
- Robotics
- Biomechanics
Background:
- Passive knee prostheses demand excessive metabolic energy, impairing natural gait.
- Existing active prostheses lack accuracy and have slow response times, limiting natural knee movement replication.
Purpose of the Study:
- To design and control a novel biomimetic transfemoral knee prosthesis.
- To enhance natural human walk performance by providing additional power and accurate movement mimicry.
- To develop a stable control strategy for prosthetic knee function.
Main Methods:
- Utilized body-guidance kinematics synthesis based on real human walking patterns derived from computer vision and 3D reconstruction.
- Developed and implemented an echo-control strategy synchronizing prosthesis activation with the sound leg's movement.
- Constructed and evaluated an experimental prototype on a test rig.
Main Results:
- The prosthetic knee successfully mimicked the biomechanics of the natural human knee.
- The echo-control strategy demonstrated effective synchronization and activation.
- The biomimetic design showed potential for improved gait performance.
Conclusions:
- The developed biomimetic transfemoral knee prosthesis with echo-control offers a promising advancement over current technologies.
- This approach accurately replicates natural knee movement, potentially reducing metabolic cost for users.
- Further research can optimize the control strategy for enhanced user experience and mobility.
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