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

You might also read

Related Articles

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

Sort by
Same author

Transcranial Focused Ultrasound Stimulation Targeting White Matter Inhibits Seizures in a Rat Model of Epilepsy.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2025
Same author

Announcing a change of leadership at Journal of Neural Engineering.

Journal of neural engineering·2025
Same author

Bradycardia is induced by hyperactivity of the vagus nerve and nucleus ambiguus during seizures propagating into the brainstem.

Epilepsia open·2025
Same author

Non-synaptic interictal epileptiform discharges propagating from CA3 to CA1 induce synaptic depression in the hippocampus.

Epilepsia open·2025
Same author

Effect of Anesthesia and Diurnal Variation on Chronic Vagus Nerve Activity in Rats.

Journal of neuroscience research·2025
Same author

Cathodal weak direct current decreases epileptic excitability with reduced neuronal activity and enhanced delta oscillations.

The Journal of physiology·2025

Related Experiment Video

Updated: Feb 27, 2026

Stereo-Imaging System DLT Calibration to Capture 3D In Situ Displacements of Stretched Peripheral Nerves
06:26

Stereo-Imaging System DLT Calibration to Capture 3D In Situ Displacements of Stretched Peripheral Nerves

Published on: January 12, 2024

798

Model-based Bayesian signal extraction algorithm for peripheral nerves.

Thomas E Eggers1, Yazan M Dweiri, Grant A McCallum

  • 1Neural Engineering Center, Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States of America.

Journal of Neural Engineering
|July 5, 2017
PubMed
Summary
This summary is machine-generated.

A new Hybrid Bayesian Signal Extraction (HBSE) algorithm significantly improves the extraction of motor commands from neural signals, enhancing prosthetic control for amputees. This method offers better signal quality and real-time performance compared to existing techniques.

More Related Videos

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals
07:30

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals

Published on: January 13, 2022

2.6K
Open-Source Real-Time Closed-Loop Electrical Threshold Tracking for Translational Pain Research
10:28

Open-Source Real-Time Closed-Loop Electrical Threshold Tracking for Translational Pain Research

Published on: April 21, 2023

1.8K

Related Experiment Videos

Last Updated: Feb 27, 2026

Stereo-Imaging System DLT Calibration to Capture 3D In Situ Displacements of Stretched Peripheral Nerves
06:26

Stereo-Imaging System DLT Calibration to Capture 3D In Situ Displacements of Stretched Peripheral Nerves

Published on: January 12, 2024

798
The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals
07:30

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals

Published on: January 13, 2022

2.6K
Open-Source Real-Time Closed-Loop Electrical Threshold Tracking for Translational Pain Research
10:28

Open-Source Real-Time Closed-Loop Electrical Threshold Tracking for Translational Pain Research

Published on: April 21, 2023

1.8K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Signal Processing

Background:

  • Multi-channel cuff electrodes are explored for decoding motor commands from neural signals.
  • Existing methods yield low signal-to-noise ratios, limiting prosthetic control applications.
  • A novel real-time, model-based algorithm is proposed to overcome these limitations.

Purpose of the Study:

  • To introduce and validate a new algorithm for extracting motor commands from neural recordings.
  • To compare the proposed algorithm against existing spatial filtering techniques.
  • To assess the algorithm's performance in realistic noise conditions.

Main Methods:

  • A saline benchtop setup was used with artificial neural sources and external interference.
  • The Hybrid Bayesian Signal Extraction (HBSE) algorithm was developed, combining source localization approaches.
  • HBSE was compared to beamforming and a Bayesian spatial filtering method using chronic neural data.

Main Results:

  • HBSE improved signal-to-noise and signal-to-interference ratios by two to three-fold.
  • Correlation coefficients between original and recovered signals increased by 10-20%.
  • Enhanced performance was observed in a real chronic neural recording, improving calculated bit rate.

Conclusions:

  • The HBSE algorithm significantly outperforms previous methods in extracting neural signals.
  • This advancement demonstrates the potential for controlling prosthetic limbs using extracted motor commands.
  • The method shows feasibility for dynamic motor signal extraction from intact nerve trunks.