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Related Concept Videos

Development of the Limb Synovial Joints01:07

Development of the Limb Synovial Joints

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Joints form during embryonic development in conjunction with the formation and growth of the associated bones. The embryonic tissue that gives rise to all bones, cartilage, and connective tissues of the body is called mesenchyme.
The mesenchymal stem cells differentiate into chondrocytes that form the hyaline cartilage, and later the cartilaginous model of the bone. This model further transforms into a bone. This process is known as endochondral ossification.
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Structural Classification of Joints01:20

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Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
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Functional Classification of Joints01:09

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Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
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Related Experiment Video

Updated: Feb 24, 2026

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty
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Challenges in using compliant ligaments for position estimation within robotic joints.

Felix Russell, Lei Gao, Peter Ellison

    IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]
    |August 18, 2017
    PubMed
    Summary

    Researchers explored using stretch sensing ligaments in robotic knees to improve joint angle control for prosthetics and rehabilitation. Ligament stretch measurements show potential for enhancing robotic knee performance, particularly in response to step inputs.

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    Area of Science:

    • Biomechanical Engineering
    • Robotics
    • Rehabilitation Technology

    Background:

    • Bio-inspired condylar robotic knee joints offer mechanical advantages for prosthetics and rehabilitation.
    • Accurate joint angle estimation and control remain significant challenges in current robotic knee designs.
    • The functional role of ligament-like structures in robotic knee systems is not well-established.

    Purpose of the Study:

    • To investigate the integration of compliant stretch sensing ligaments into a condylar robotic knee.
    • To determine if ligament stretch measurements can be used for a novel feedback controller for joint position.
    • To assess the potential of ligament-like structures for improving robotic knee performance.

    Main Methods:

    • Development of a computer model and experimental robotic knee prototype.
    • Utilizing simulations and experiments to analyze the relationship between ligament stretch, muscle force, joint velocity, and joint angle.
    • Implementing a genetic algorithm-optimized controller that incorporates ligament feedback.

    Main Results:

    • Ligament stretch was found to be a function of muscle force, joint velocity, and joint angle for a specific condyle shape.
    • The developed controller demonstrated improved joint angle control performance in response to step inputs.
    • Marginal improvements were observed with a cyclic command signal, indicating a need for further research in robust control.

    Conclusions:

    • Ligament-like structures show promise for enhancing the performance of robotic knees.
    • Stretch sensing ligaments offer a potential new feedback mechanism for joint position control in prosthetic and rehabilitation devices.
    • Further investigation is warranted to fully leverage ligament stretch measurements for robust control applications.