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Related Concept Videos

Motor Unit Stimulation01:20

Motor Unit Stimulation

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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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Muscle Stimulation Frequency01:22

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The contraction strength of muscles is regulated by motor neurons, which modulate the frequency of action potentials dispatched to the motor units based on the body's requirements. This process of varying the muscle stimulation frequency allows muscles to contract with a force that is precisely tailored to the needs of the moment, whether lifting a feather or a heavy box.
Wave summation
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Related Experiment Video

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The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals
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Control of Dynamic Limb Motion Using Fatigue-Resistant Asynchronous Intrafascicular Multi-Electrode Stimulation.

Mitchell A Frankel1, V John Mathews2, Gregory A Clark3

  • 1Department of Mechanical Engineering, University of Utah Salt Lake City, UT, USA.

Frontiers in Neuroscience
|September 29, 2016
PubMed
Summary
This summary is machine-generated.

Asynchronous intrafascicular multi-electrode stimulation (aIFMS) can now precisely control joint position. This closed-loop controller offers fatigue-resistant motion for paralyzed individuals.

Keywords:
asynchronous stimulationclosed-loop controlintrafascicular stimulationneuroprosthesisperipheral nerve

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Rehabilitation Technology

Background:

  • Asynchronous intrafascicular multi-electrode stimulation (aIFMS) enables selective, fatigue-resistant muscle force generation by targeting peripheral nerve motor axons.
  • Previous work established closed-loop control for isometric muscle force using aIFMS.
  • Dynamic control of joint position presents a more complex challenge for closed-loop aIFMS.

Purpose of the Study:

  • To extend and adapt a real-time closed-loop controller for dynamic joint position control using aIFMS.
  • To evaluate the controller's performance in evoking motion against opposing joint torque.
  • To assess the controller's robustness and reliability for potential application in individuals with paralysis.

Main Methods:

  • A proportional-integral-velocity controller with integrator anti-windup was implemented.
  • The controller was experimentally validated on the hind-limb ankle joint of an anesthetized feline.
  • aIFMS was used to stimulate fast-twitch plantar-flexor muscles to evoke motion.

Main Results:

  • The controller successfully evoked joint position steps with minimal overshoot (2.4%), rapid rise time (2.3 s), and quick settling time (4.5 s).
  • Near-zero steady-state error was achieved, with consistent responses across step sizes and stability against external disturbances.
  • Smooth eccentric motion up to 8 deg./s and sinusoidal trajectories up to 0.1 Hz were evoked with delays under 1.5 s.

Conclusions:

  • A robust closed-loop aIFMS controller was successfully developed and validated for dynamic joint position control.
  • The controller demonstrates precision, stability, and reliability, offering potential for restoring movement in paralyzed individuals.
  • This work provides critical insights for advancing aIFMS technology for functional motor recovery.