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Related Experiment Video

Updated: May 25, 2026

Long-term Continuous EEG Monitoring in Small Rodent Models of Human Disease Using the Epoch Wireless Transmitter System
08:43

Long-term Continuous EEG Monitoring in Small Rodent Models of Human Disease Using the Epoch Wireless Transmitter System

Published on: July 21, 2015

A wireless multichannel EEG recording platform.

S Filipe1, G Charvet, M Foerster

  • 1Department DTBS, CEA/LETI, MINATEC Campus, Grenoble, France. sabine.filipe@cea.fr

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
PubMed
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A new wireless system for ElectroEncephaloGraphy (EEG) recording was developed using a custom integrated circuit and RF transmission. This lightweight system enables 32-channel brain-computer interface studies.

Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Wireless Communication Technology

Background:

  • Traditional ElectroEncephaloGraphy (EEG) systems often involve cumbersome wired setups, limiting patient mobility and complicating data acquisition.
  • Advancements in integrated circuit design and wireless communication offer opportunities to create more portable and user-friendly EEG solutions.
  • Brain-Computer Interface (BCI) research requires high-fidelity, real-time neural data acquisition, necessitating robust and unobtrusive recording systems.

Purpose of the Study:

  • To design and present a novel wireless multichannel data acquisition system for high-resolution EEG recording.
  • To detail the platform architecture, including custom integrated circuits for signal processing and commercial components for RF transmission.
  • To validate the system's performance through in vivo measurements, including noise characterization and wireless data transfer.

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Last Updated: May 25, 2026

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Main Methods:

  • Development of a custom Application-Specific Integrated Circuit (ASIC) for signal conditioning, amplification, and digitization.
  • Integration of commercial radio frequency (RF) components for wireless data transmission in the Medical Implant Communication Service (MICS) band (402-405 MHz).
  • Implementation of a 32-channel EEG recording system with a sampling rate of 1 kHz and 12-bit resolution.
  • In vivo validation involving noise analysis and wireless data transfer rate measurements.

Main Results:

  • Successful design and implementation of a wireless 32-channel EEG data acquisition system.
  • Demonstration of RF transmission capabilities at 1 kHz sampling rate and 12-bit resolution using the MICS band.
  • Characterization of system noise and measurement of wireless data transfer performance in an in vivo setting.
  • The system serves as a foundational step towards developing a lightweight EEG cap for BCI applications.

Conclusions:

  • The developed wireless multichannel data acquisition system offers a viable solution for high-quality EEG recording.
  • The integration of custom ASIC and RF technology paves the way for advanced, mobile BCI research.
  • The system's performance, validated in vivo, supports its potential for clinical and research applications requiring wireless EEG.