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[Portable Multi Channel EEG Signal Acquisition System].

Hangyu Le1,2, Zifu Zhu1,2, Sinian Yuan1,2

  • 1Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, 518000.

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Summary

This study presents a portable, low-power, multi-channel electroencephalogram (EEG) acquisition system. The developed wearable device offers a high signal-to-noise ratio for real-time brain activity monitoring.

Keywords:
ADS1299EEG signalhigh signal-to-noise ratioportable

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Wearable Technology

Background:

  • Electroencephalogram (EEG) monitoring is crucial for diagnosing neurological conditions.
  • Existing EEG systems can be bulky, power-intensive, and lack portability.
  • There is a need for advanced, user-friendly EEG devices for widespread clinical and research applications.

Purpose of the Study:

  • To develop and validate a portable, multi-channel EEG signal acquisition system.
  • To design a low-power, high signal-to-noise ratio (SNR) front-end for EEG data collection.
  • To enable real-time display and analysis of EEG signals on a personal computer.

Main Methods:

  • The system integrates an EEG electrode connector, signal conditioning circuit, and a main control microcontroller unit (MCU).
  • A low-power EEG acquisition front-end utilizing ADS1299 and an STM32 microcontroller facilitates signal acquisition and data communication.
  • The system architecture prioritizes miniaturization and low power consumption for wearable applications.

Main Results:

  • The developed system demonstrates a small physical footprint and minimal power requirements.
  • Tests confirm a high signal-to-noise ratio, ensuring the quality of collected EEG data.
  • The system successfully transmits EEG signals to a PC for real-time visualization.

Conclusions:

  • The portable multi-channel EEG system meets the stringent requirements for wearable medical devices.
  • This technology offers a promising solution for accessible and efficient brain activity monitoring.
  • The system's design facilitates enhanced usability and data integrity in portable EEG applications.