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

You might also read

Related Articles

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

Sort by

Same author

Spatiotemporal characteristics of neural activity in tibial nerves with carbon nanotube yarn electrodes.

Journal of neuroscience methods·2019

Same author

Ten-dimensional anthropomorphic arm control in a human brain-machine interface: difficulties, solutions, and limitations.

Journal of neural engineering·2014

Same author

Bayesian spatial filters for source signal extraction: a study in the peripheral nerve.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2014

Same author

Mechanism of highly synchronized bilateral hippocampal activity.

Experimental neurology·2013

Same author

Extraction of control signals from a mixture of source activity in the peripheral nerve.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2013

Same author

Recovery of neural activity from nerve cuff electrodes.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2012

Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 6, 2026

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

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

Published on: January 13, 2022

Peripheral nerve signal recording and processing for artificial limb control.

B Wodlinger¹, D M Durand

¹Case Western Reserve University, Neural Engineering Center, Cleveland, OH 44118, USA. bcw12@case.edu

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

|November 25, 2010

Summary

This summary is machine-generated.

Beamforming improves prosthetic limb control by extracting natural signals from peripheral nerve activity. This method enhances signal extraction from the sciatic nerve, offering better prosthetic limb functionality.

More Related Videos

Implantation and Control of Wireless, Battery-free Systems for Peripheral Nerve Interfacing

Implantation and Control of Wireless, Battery-free Systems for Peripheral Nerve Interfacing

Published on: October 20, 2021

Fabrication of the Composite Regenerative Peripheral Nerve Interface (C-RPNI) in the Adult Rat

Fabrication of the Composite Regenerative Peripheral Nerve Interface (C-RPNI) in the Adult Rat

Published on: February 25, 2020

Related Experiment Videos

Last Updated: Jun 6, 2026

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

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

Published on: January 13, 2022

Implantation and Control of Wireless, Battery-free Systems for Peripheral Nerve Interfacing

Implantation and Control of Wireless, Battery-free Systems for Peripheral Nerve Interfacing

Published on: October 20, 2021

Fabrication of the Composite Regenerative Peripheral Nerve Interface (C-RPNI) in the Adult Rat

Fabrication of the Composite Regenerative Peripheral Nerve Interface (C-RPNI) in the Adult Rat

Published on: February 25, 2020

Area of Science:

Biomedical Engineering
Neuroscience
Prosthetics

Background:

Modern prosthetic limbs require robust control signals for natural movement.
Previous research indicated beamforming's potential for extracting neural signals from peripheral nerve activity.

Purpose of the Study:

To validate beamforming for neural signal extraction in a realistic in vivo setting.
To assess the efficacy of beamforming in distinguishing stimulated nerve branches.

Main Methods:

Utilized a 16-channel Flat Interface Nerve Electrode for sciatic nerve recordings in rabbits.
Stimulated distal Tibial and Peroneal nerve branches to generate realistic neural signals.
Applied beamforming techniques to analyze recorded nerve activity.

Main Results:

Beamforming achieved an R(2) of 0.7 ± 0.2, outperforming individually selected channels by 0.12 ± 0.06.
Beamforming filters successfully identified stimulated nerve branches under kHz-level stimulation.
The method demonstrated the ability to discern stimulation intensity in many cases.

Conclusions:

Beamforming is a validated and effective method for extracting control signals from peripheral nerve activity.
This technique offers improved performance over traditional channel selection methods.
The findings support the use of beamforming for advanced prosthetic limb control systems.