Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Structural Classification of Joints01:20

Structural Classification of Joints

3.8K
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.
A fibrous joint is where the adjacent bones are united by fibrous connective...
3.8K
Functional Classification of Joints01:09

Functional Classification of Joints

4.4K
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.
Synarthrosis
An...
4.4K
Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity01:15

Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity

317
Deformation occurs in axial and transverse directions when an axial load is applied to a slender bar. This deformation impacts the cubic element within the bar, transforming it into either a rectangular parallelepiped or a rhombus, contingent on its orientation. This transformation process induces shearing strain. Axial loading elicits both shearing and normal strains. Applying an axial load instigates equal normal and shearing stresses on elements oriented at a 45° angle to the load axis.
317
Bending of Members Made of Several Materials01:08

Bending of Members Made of Several Materials

248
In analyzing a structural member composed of two different materials with identical cross-sectional areas, it is crucial to understand how their distinct elastic properties affect the member's response under load. The analysis involves assessing stress and strain distributions using the transformed section concept, which accounts for variations in material properties.
Hooke's Law determines stress in each material, stating that stress is proportional to strain but varies due to each...
248
Deformation of Member under Multiple Loadings01:11

Deformation of Member under Multiple Loadings

207
When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
In the case of a member with a variable cross-section, the strain is not constant but depends on the position. The deformation of an...
207
Method of Joints: Problem Solving I01:30

Method of Joints: Problem Solving I

1.2K
The method of joints is a commonly used technique to analyze the forces in structural trusses. The method is based on the principle of equilibrium, which assumes that the truss members are connected by frictionless pins. The forces at each joint can be determined by considering the equilibrium of the forces acting on that joint. Consider a truss structure with two forces of 20 N and 10 N acting at joints C and D, respectively. The method of joints can be used to determine the forces FCB, FDC,...
1.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Composite Certainty: Addressing Metric Degeneracy in Parameter Inference for Model-Based Diagnostics.

bioRxiv : the preprint server for biology·2026
Same author

Characterizing the nonlinear dynamics of the human postural sway response to visual stimuli.

Journal of neurophysiology·2026
Same author

Modelling the Relationship between Bubble CPAP Pressure, Flow, and Canister Bubbling Sounds.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Signal Quality Estimation of Impedance Pneumography Signals in the NICU Using a Frequency-based Approach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Next generation of non-contact and wireless vital sign monitoring technology in the neonatal intensive care unit: a systematic review.

Pediatric research·2025
Same author

A Framework to Evaluate Feasibility, Safety, and Accuracy of Wireless Sensors in the Neonatal Intensive Care Unit: Oxygen Saturation Monitoring.

Sensors (Basel, Switzerland)·2025

Related Experiment Video

Updated: Aug 24, 2025

Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

9.6K

Non-Parametric Nonlinear Parameter-Varying Parallel-Cascade Identification of Dynamic Joint Stiffness.

Ehsan Sobhani Tehrani, Robert E Kearney

    IEEE Transactions on Bio-Medical Engineering
    |October 25, 2022
    PubMed
    Summary

    This study introduces a novel method to accurately measure dynamic ankle joint stiffness, revealing how intrinsic and reflex properties change during movement. The findings enhance understanding of joint control and inform orthotics and prosthetics design.

    More Related Videos

    Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI
    06:09

    Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI

    Published on: July 21, 2023

    1.3K
    Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
    08:24

    Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

    Published on: August 30, 2016

    10.3K

    Related Experiment Videos

    Last Updated: Aug 24, 2025

    Experimental Methods to Study Human Postural Control
    08:12

    Experimental Methods to Study Human Postural Control

    Published on: September 11, 2019

    9.6K
    Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI
    06:09

    Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI

    Published on: July 21, 2023

    1.3K
    Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
    08:24

    Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

    Published on: August 30, 2016

    10.3K

    Area of Science:

    • Biomechanics
    • Neuroscience
    • Robotics

    Background:

    • Ankle joint stiffness is crucial for postural and movement control.
    • Intrinsic and reflex stiffness components dynamically vary with joint position and torque during functional tasks.
    • Accurate characterization of these time-varying stiffness properties is essential for understanding neuromuscular control.

    Purpose of the Study:

    • To present a novel method for identifying ankle joint dynamic stiffness, specifically addressing the time-varying nature of intrinsic and reflex stiffness.
    • To model joint stiffness using parameter-varying (PV) impulse response functions and reflex pathways.
    • To validate the method's accuracy and reliability in estimating stiffness changes with a scheduling variable (SV).

    Main Methods:

    • Developed a model incorporating two pathways: a PV impulse response function for intrinsic stiffness and a reflex model with PV static nonlinearity and a PV linear element.
    • Utilized Monte-Carlo simulations for estimating intrinsic and reflex pathway elements.
    • Applied the method to experimental data from a healthy individual undergoing imposed ankle movements.

    Main Results:

    • The method accurately estimated intrinsic and reflex stiffness components that varied with the SV.
    • Intrinsic stiffness showed significant changes with ankle position, being lowest near the mid-position.
    • Reflex gain increased and velocity threshold decreased monotonically with ankle dorsiflexion, while reflex dynamics remained a position-invariant low-pass system.
    • The identified PV Parallel-Cascade (PC) model successfully predicted torque responses to new movement trajectories.

    Conclusions:

    • The PV-PC method reliably estimates dynamic ankle joint stiffness, capturing variations in intrinsic and reflex components with a time-varying SV.
    • This unified algorithm efficiently characterizes joint stiffness elements, crucial for understanding postural and movement control.
    • The predictive capability of the identified models offers significant potential for informing the design of orthoses and prostheses.