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Related Concept Videos

Knee Joint01:23

Knee Joint

The knee joint is the most complicated joint in the body. It consists of three articulations– two tibiofemoral and one patellofemoral. As is characteristic of synovial joints, the knee joint has a thin articular capsule that partially surrounds this joint cavity. Additionally, several ligaments, muscles, and cartilaginous structures support the movement of the knee.
A total of seven ligaments support the knee joint. The patellar ligament, which is also attached to the quadriceps femoris group...

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Related Experiment Video

Updated: May 25, 2026

Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis
08:08

Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis

Published on: May 8, 2014

Model-based estimation of active knee stiffness.

Serge Pfeifer1, Michael Hardegger, Heike Vallery

  • 1Sensory-Motor Systems Lab, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland. pfeifers@ethz.ch

IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]
|January 26, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to estimate active knee stiffness during gait using musculoskeletal modeling. This approach aids in designing better transfemoral prostheses by understanding joint impedance during natural movement.

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Last Updated: May 25, 2026

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Area of Science:

  • Biomechanics
  • Biomedical Engineering
  • Musculoskeletal Modeling

Background:

  • Knee joint impedance significantly changes during walking, impacting transfemoral prosthesis design.
  • Current methods to measure joint impedance are difficult to use during natural locomotion.
  • Quantifying active knee stiffness is crucial for mimicking physiological limb behavior.

Purpose of the Study:

  • To propose and validate a novel method for estimating the elastic component of knee joint impedance (active knee stiffness).
  • To assess the feasibility of this method for obtaining parameters relevant to transfemoral prosthesis design.

Main Methods:

  • Utilized a musculoskeletal leg model combined with a short-range muscle stiffness model.
  • Estimated muscle forces from limb kinematics, kinetics, and electromyograms.
  • Validated the model against isometric joint perturbation measurements.

Main Results:

  • Model estimates for stiffness showed a difference of 17% for extension and 42% for flexion compared to isometric measurements.
  • Stiffness estimates demonstrated low sensitivity to common muscle force estimation techniques under isometric conditions.
  • Initial estimations of knee stiffness modulation during gait were performed.

Conclusions:

  • The proposed method provides a viable approach to estimate active knee stiffness during gait.
  • This technique can yield crucial parameters for the development of advanced transfemoral prostheses.
  • Further research can refine the understanding of knee joint impedance modulation during locomotion.