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

Correcting curvature in micromirror-based spatial light modulators with a microlens array.

Optics express·2026

Same author

MRDust: Wireless Implant Data Uplink & Localization via Magnetic Resonance Image Modulation.

IEEE transactions on biomedical circuits and systems·2025

Same author

The MRDust: Wireless Data Uplink & Localization via Magnetic Resonance Image Modulation.

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

Same author

A 1024-Channel 268 nW/pixel 36×36 <i>μ</i>m<sup>2</sup>/channel Data-Compressive Neural Recording IC for High-Bandwidth Brain-Computer Interfaces.

IEEE journal of solid-state circuits·2024

Same author

Wireless ear EEG to monitor drowsiness.

Nature communications·2024

Same author

Toward a Wireless Image Sensor for Real-Time Fluorescence Microscopy in Cancer Therapy.

IEEE transactions on biomedical circuits and systems·2024

Search research articles

Related Experiment Video

Updated: Jun 24, 2026

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

DustNet: A Wireless Network of Ultrasonic Neural Implants.

Jade Pinkenburg, Changuk Lee, Mohammad Meraj Ghanbari

IEEE Transactions on Biomedical Circuits and Systems

|June 22, 2026

Summary

This study introduces DustNet, a wireless neural recording system using ultrasonic power for prosthetic control. This breakthrough overcomes infection risks and enables chronic use of advanced neural interfaces.

More Related Videos

A Wireless, Bidirectional Interface for In Vivo Recording and Stimulation of Neural Activity in Freely Behaving Rats

A Wireless, Bidirectional Interface for In Vivo Recording and Stimulation of Neural Activity in Freely Behaving Rats

Published on: November 7, 2017

The DREAM Implant: A Lightweight, Modular, and Cost-Effective Implant System for Chronic Electrophysiology in Head-Fixed and Freely Behaving Mice

The DREAM Implant: A Lightweight, Modular, and Cost-Effective Implant System for Chronic Electrophysiology in Head-Fixed and Freely Behaving Mice

Published on: July 26, 2024

Related Experiment Videos

Last Updated: Jun 24, 2026

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

A Wireless, Bidirectional Interface for In Vivo Recording and Stimulation of Neural Activity in Freely Behaving Rats

A Wireless, Bidirectional Interface for In Vivo Recording and Stimulation of Neural Activity in Freely Behaving Rats

Published on: November 7, 2017

The DREAM Implant: A Lightweight, Modular, and Cost-Effective Implant System for Chronic Electrophysiology in Head-Fixed and Freely Behaving Mice

The DREAM Implant: A Lightweight, Modular, and Cost-Effective Implant System for Chronic Electrophysiology in Head-Fixed and Freely Behaving Mice

Published on: July 26, 2024

Area of Science:

Biomedical Engineering
Neuroscience
Materials Science

Background:

Percutaneous wires for neural recording risk infection and degradation, limiting chronic prosthetic use.
Wireless, implantable solutions are needed for robust, long-term neural interfaces.

Purpose of the Study:

To develop DustNet, a fully wireless, ultrasonically-powered, spatially distributed neural recording system.
To enable high-throughput communication between multiple neural implants over a single ultrasound link.

Main Methods:

Developed DustNet, a network of miniaturized, ultrasonically-powered neural recording implants.
Implemented a time-division multiple-access (TDMA) protocol with 16-level amplitude modulation for efficient data transmission.
Utilized a 0.7 mm³ implant with a CMOS IC fabricated in 28nm process.

Main Results:

Demonstrated system functionality with 4 implants at 90 mm depth in oil.
Achieved a maximum data rate of 200 kb/s with individual implants transmitting at 50 kb/s.
Showcased low power consumption (7 µW) and potential for scaling to 400 kb/s.

Conclusions:

DustNet offers a promising solution for chronic, wireless neural recording.
The system enhances prosthetic control by enabling natural movement reconstruction.
Ultrasonic power and advanced communication protocols pave the way for next-generation neural interfaces.