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Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

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Updated: Jun 18, 2026

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

Circuit techniques for wireless brain interfaces.

B Otis¹, C Moritz, J Holleman

¹Department of Electrical Engineering, University of Washington, Seattle, WA, 98195, USA.

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

|December 8, 2009

Summary

This summary is machine-generated.

This study presents circuit techniques for miniaturized wireless brain interfaces. It compares active and passive architectures, offering solutions for low-power, high-performance chronic recording in health monitoring.

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Last Updated: Jun 18, 2026

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

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

Area of Science:

Biomedical Engineering
Neuroscience
Electrical Engineering

Background:

Miniaturized wireless recording is essential for advanced health monitoring.
Brain interfaces require increasingly smaller, lower-power, and higher-performance circuitry for chronic recording.

Purpose of the Study:

To describe circuit and system techniques for low-power wireless brain interfaces.
To compare active and passive architectures for wireless brain recording.

Main Methods:

Description of circuit and system techniques for wireless brain interfaces.
Comparison of active and passive architectures.
Presentation of measured in-vivo data for both architectures.

Main Results:

Demonstration of circuit and system techniques for efficient wireless brain interfaces.
Comparative analysis of active and passive architectures based on in-vivo data.
Validation of techniques through experimental results.

Conclusions:

The presented techniques enable efficient, miniaturized wireless recording for brain interfaces.
Both active and passive architectures offer viable solutions, with performance trade-offs.
The findings support the development of next-generation chronic neural recording systems.