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Related Concept Videos

Motor Unit Stimulation01:20

Motor Unit Stimulation

When the neuron of a motor unit fires an action potential, it triggers a series of events, leading to a twitch contraction in the muscle fibers. The process of excitation-contraction coupling is crucial in relaying the action potential to the muscle fibers.
The latent period of contraction marks the onset of excitation-contraction coupling, when the action potential propagates across the sarcolemma, preparing the muscle fibers for contraction. As the fibers enter the contraction phase, the...

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Related Experiment Video

Updated: Jun 8, 2026

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

Comprehensive joint feedback control for standing by functional neuromuscular stimulation-a simulation study.

Raviraj Nataraj1, Musa L Audu, Robert F Kirsch

  • 1Biomedical Engineering Department at Case Western Reserve University and Cleveland Veterans Affairs Medical Center, Cleveland, OH 44109, USA. raviraj.nataraj@case.edu

IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
|October 7, 2010
PubMed
Summary
This summary is machine-generated.

Comprehensive joint feedback control significantly reduces upper extremity loading for individuals with spinal cord injury (SCI) during standing using functional neuromuscular stimulation (FNS). This approach enhances stability and functional tasks, offering a promising advancement for FNS-assisted standing.

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A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
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Last Updated: Jun 8, 2026

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

Area of Science:

  • Biomedical Engineering
  • Neurorehabilitation
  • Robotics and Control Systems

Background:

  • Current functional neuromuscular stimulation (FNS) for spinal cord injury (SCI) standing often focuses on individual joints.
  • This limits the potential for comprehensive postural control and stability.
  • Upper extremity (UE) loading is a common compensatory strategy for balance.

Purpose of the Study:

  • To assess the efficacy of comprehensive joint feedback control for bipedal stance in SCI.
  • To evaluate the potential of an artificial neural network (ANN) controller using proportional-derivative feedback.
  • To minimize UE loading required for postural stabilization against disturbances.

Main Methods:

  • Developed a 3-D computer model simulating SCI bipedal stance.
  • Utilized an ANN trained with proportional-derivative feedback to generate muscle excitation patterns.
  • Optimized feedback gains to reduce UE loading during simulated postural disturbances and functional tasks.

Main Results:

  • The comprehensive feedback controller reduced UE loading by 55% against external force perturbations.
  • UE loading was reduced by 84% during simulated one-arm functional tasks compared to baseline constant muscle excitations.
  • Performance sensitivity was highest for ankle position and hip abduction/adduction velocity feedback.

Conclusions:

  • Comprehensive joint feedback control shows significant potential to improve FNS-assisted standing function in SCI.
  • This approach can markedly reduce reliance on upper extremity support.
  • Further research into control structures with fewer sensor parameters may enhance clinical applicability.