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Low-cost brain computer interface for everyday use.

Ildar Rakhmatulin1, Andrey Parfenov2, Zachary Traylor3

  • 1South Ural State University, Chelyabinsk, Russia. ildar.o2010@yandex.ru.

Experimental Brain Research
|September 29, 2021
PubMed
Summary
This summary is machine-generated.

We developed a compact, low-cost electroencephalography (EEG) device for daily use, offering wireless data transfer and noise suppression. This affordable solution, detailed on GitHub, aims to meet the growing demand for accessible EEG technology.

Keywords:
Brain computer interface (BCI)EEGLow-cost BCILow-cost EEGSignal processingironbci

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Consumer Electronics

Background:

  • Increasing demand for accessible electroencephalography (EEG) applications.
  • Need for affordable, consumer-grade EEG devices suitable for daily use.
  • Limitations of current EEG devices in terms of cost, size, and usability.

Purpose of the Study:

  • To develop a compact, low-cost EEG device for everyday applications.
  • To enable wireless data transfer for enhanced user mobility.
  • To provide a cost-effective solution for multi-electrode EEG recordings.

Main Methods:

  • Designed a compact, circular EEG device (25mm radius).
  • Implemented TCP/IP protocol for wireless data transfer to a personal server.
  • Integrated noise suppression for improved signal accuracy (peak input noise < 0.35 μV).
  • Achieved a cost-effectiveness of approximately $350 for 24 electrodes.

Main Results:

  • Demonstrated a functional, compact, and low-cost EEG device.
  • Verified wireless data transmission with TCP/IP protocol.
  • Achieved high signal accuracy with effective noise suppression.
  • Provided detailed building specifications on GitHub for replication and further development.

Conclusions:

  • The developed EEG device offers a viable, affordable solution for daily use and various applications.
  • Wireless capability and compact design enhance user comfort and mobility.
  • Open-source hardware specifications facilitate wider adoption and innovation in consumer EEG technology.