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Related Concept Videos

System of Forces and Couples01:16

System of Forces and Couples

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In the analysis of structural systems, it is common to encounter members subjected to various forces and couple moments. Simplifying these systems can make the analysis more manageable and easier to understand. One approach to achieve this simplification is by moving a force to a point O that does not lie on its line of action and adding a couple with a moment equal to the moment of the force about point O.
The principle of transmissibility plays a crucial role in this process. According to...
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Simplification of a Force and Couple System I01:18

Simplification of a Force and Couple System I

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The concept of reducing a system of forces and couple moments to an equivalent system is essential in simplifying the analysis of rigid bodies. This reduction allows for more straightforward computation and understanding of the external effects produced by the system. In particular, systems with an equivalent resultant force and a resultant couple moment having perpendicular lines of action can be further reduced to a single equivalent resultant force acting along a new line of action. There...
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Simplification of a Force and Couple System: II01:23

Simplification of a Force and Couple System: II

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In a three-dimensional system, multiple forces can act on an object. These forces can be combined into a single equivalent force, known as the resultant force. Similarly, the moments generated by these forces can be combined into a single equivalent moment, the resultant couple moment. In certain situations, these two entities may not be mutually perpendicular, meaning they do not have a 90-degree angle between them. This unique condition requires a deeper understanding of the interplay between...
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Orthogonal Trajectories01:26

Orthogonal Trajectories

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Orthogonal trajectories describe the geometric relationship between two families of curves that intersect each other at right angles. One illustrative case involves a family of parabolas that open sideways along the x-axis. These curves share a common shape but differ by a scaling parameter, resulting in a set of curves that all pass through the origin and widen at different rates.Determining Orthogonal TrajectoriesTo identify the orthogonal trajectories for these parabolas, the first step...
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Trial and Error and Algorithm01:12

Trial and Error and Algorithm

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A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
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What are Estimates?01:06

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It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
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A SEMG-Force Estimation Framework Based on a Fast Orthogonal Search Method Coupled with Factorization Algorithms.

Xiang Chen1, Yuan Yuan2, Shuai Cao3

  • 1Department of Electronic Science and Technology, University of Science and Technology of China, Hefei 230027, China. xunchen@ece.ubc.ca.

Sensors (Basel, Switzerland)
|July 13, 2018
PubMed
Summary

This study introduces a new framework combining fast orthogonal search (FOS) and factorization algorithms for accurate muscle force estimation using surface electromyogram (SEMG) signals. Factorization methods significantly improved force estimation accuracy compared to conventional techniques.

Keywords:
factorization algorithmsfast orthogonal searchhigh-density SEMGmuscle force estimation

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Biomechanics

Background:

  • Accurate muscle force estimation is crucial for understanding human movement and developing assistive technologies.
  • Surface electromyogram (SEMG) signals offer a non-invasive method for muscle activity assessment.
  • Existing methods for SEMG-based force estimation have limitations in accuracy and robustness.

Purpose of the Study:

  • To develop and validate a novel framework for high-accuracy muscle force estimation using high-density SEMG (HD-SEMG).
  • To compare the performance of factorization algorithms (PCA, ICA, NMF) coupled with the fast orthogonal search (FOS) method against a conventional approach.

Main Methods:

  • HD-SEMG signals were recorded during isometric elbow flexion tasks.
  • Factorization algorithms (PCA, ICA, NMF) decomposed SEMG signals into activation patterns and curves.
  • The fast orthogonal search (FOS) algorithm created basis functions and a force estimation model.
  • Force estimation accuracy was evaluated using root mean square difference (RMSD) against measured forces.

Main Results:

  • The novel framework significantly improved force estimation accuracy compared to the conventional average signal envelope (AVG-ENVLP) method.
  • Factorization algorithms (PCA, ICA, NMF) achieved lower RMSD values (9.51–9.74%) than AVG-ENVLP (11.79%).
  • Independent component analysis (ICA) and nonnegative matrix factorization (NMF) showed slightly better performance than principal component analysis (PCA).

Conclusions:

  • The proposed FOS-based framework with factorization algorithms offers an effective approach for estimating combined muscle forces.
  • This method holds significant potential for applications in sports biomechanics, gait analysis, prosthesis control, and rehabilitation exoskeleton devices.