Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Two-Dimensional Force System: Problem Solving

Two-Dimensional Force System: Problem Solving

Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...

Three-Dimensional Force System:Problem Solving

Three-Dimensional Force System:Problem Solving

A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...

Work and Energy for Variable Forces

Work and Energy for Variable Forces

When an object is acted upon by a variable force, the amount of work done and the change in energy of the object can be more complex to calculate compared to when a constant force is applied. Work is the product of force and displacement, while energy is the capacity of a system to do work. When a constant force is applied to an object, the work done can be calculated as the product of the force and the distance moved in the direction of the force. However, when a variable force is applied, the...

Principle of Linear Impulse and Momentum for a Single Particle: Problem Solving

Principle of Linear Impulse and Momentum for a Single Particle: Problem Solving

Consider a wooden box and a cylinder of known masses m1 and m2, respectively, hanging from a ceiling with the help of a massless pulley system.

Two-Dimensional Force System

Two-Dimensional Force System

A two-dimensional system in mechanical engineering involves the analysis of motion and forces in a plane. A two-dimensional force vector can be resolved into its components as:

Principle of Angular Impulse and Momentum: Problem Solving

Principle of Angular Impulse and Momentum: Problem Solving

Consider a ball of mass m, attached to a massless rod of known length, subjected to a time-dependent torque. If the initial velocity of the mass is known, then the final velocity of the mass for time t can be determined using the principle of angular impulse and momentum.
Initially, a free-body diagram of the system is drawn to illustrate all the forces acting upon the system, providing a crucial understanding of the dynamics at play. Then, the principle of angular impulse and momentum is...

You might also read

Related Articles

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

Sort by

Same author

Motor unit behavior adaptations across lifespan: sex differences in young, middle-aged and old adults.

npj aging·2026

Same author

Mechanical load monitoring in rugby: limitations and future perspectives.

Frontiers in sports and active living·2026

Same author

Ten frequently asked questions (FAQs) on surface electromyography.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology·2026

Same author

Estimating depth and strength of point-like sources in a conductive semi-space in the presence of electrode noise. Considerations on equivalent sources.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology·2026

Same author

One half of the sprinting coin: the oxygen transport cascade of a 91-yr-old female world-record sprinter.

Journal of applied physiology (Bethesda, Md. : 1985)·2026

Same author

The other half of the sprinting coin: the neuromuscular profile of a 91-yr-old female world record sprinter.

Journal of applied physiology (Bethesda, Md. : 1985)·2026

Search research articles

Related Experiment Videos

Solving EMG-force relationship using Particle Swarm Optimization.

Alberto Botter¹, Hamid R Marateb, Babak Afsharipour

¹Laboratory for Engineering of the Neuromuscular System, LISiN,Department of Electronics, Politecnico di Torino, Torino, Italy. roberto.merletti@polito.it

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 19, 2012

Summary

This summary is machine-generated.

Particle Swarm Optimization (PSO) effectively estimates muscle contributions to joint torque, similar to IRNA but with simpler initialization. This muscle load sharing method offers a robust alternative for biomechanical analysis.

Related Experiment Videos

Area of Science:

Biomechanics
Computational Neuroscience
Robotics

Background:

Understanding muscle load sharing is crucial for analyzing joint mechanics and movement.
Electromyography (EMG) and total torque data are used to estimate individual muscle contributions.
Previous methods like Interior-Reflective Newton Algorithm (IRNA) have limitations.

Purpose of the Study:

To apply the Particle Swarm Optimization (PSO) algorithm to the muscle load sharing problem.
To compare the performance of PSO with the Interior-Reflective Newton Algorithm (IRNA).
To estimate individual muscle mechanical contributions based on EMG and total torque.

Main Methods:

Particle Swarm Optimization (PSO) algorithm was implemented for muscle load sharing.
The algorithm estimated individual muscle contributions using EMG and total torque data.
Performance was compared against the Interior-Reflective Newton Algorithm (IRNA).

Main Results:

PSO demonstrated comparable mean square error in torque reconstruction to IRNA.
PSO requires simpler, random initialization, unlike IRNA's need for multiple initializations and trial-and-error constraints.
PSO is more computationally demanding than IRNA.

Conclusions:

PSO is a viable and potentially more user-friendly algorithm for muscle load sharing estimation.
The simplified initialization of PSO makes it advantageous over IRNA.
Further research can explore optimizing PSO's computational demands for broader biomechanical applications.