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

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A Wireless Bi-Directional Brain-Computer Interface Supporting Both Bluetooth and Wi-Fi Transmission.

Wei Ji^1,2, Haoyang Su^2,3, Shuang Jin²

¹College of Electronics and Information Engineering, Shanghai University of Electric Power, Shanghai 201306, China.

|November 27, 2024

Summary

This study introduces a novel wireless brain-computer interface system with dual transmission modes. It offers flexible, high-performance wireless neural signal recording and stimulation for research and therapy.

Keywords:

Bluetooth Wi-Fi brain–computer interface wireless transmission

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Area of Science:

Neuroscience
Biomedical Engineering
Wearable Technology

Background:

Conventional wireless neural systems face limitations in sampling rates, channel capacity, and transmission modes.
Efficient wireless neural signal transmission is crucial for advancing neuroscience research and developing therapies for neural disorders.

Purpose of the Study:

To develop a versatile wireless bi-directional brain-computer interface (BCI) system.
To overcome the limitations of existing wireless neural transmission systems by incorporating dual transmission modes.

Main Methods:

Developed a wireless BCI system supporting both low-power Bluetooth and high-sampling-rate Wi-Fi transmission.
Validated Bluetooth mode (14.4 kS/s) for low-frequency signals (10-50 Hz) and 16-channel local field potentials in mice.
Validated Wi-Fi mode (56.8 kS/s) for high-frequency signals (500-2000 Hz) and single-neuron spike recordings.
Integrated wireless stimulation capabilities with adjustable parameters (up to 2.55 mA).

Main Results:

The dual-mode system provides flexibility for diverse application scenarios.
Bluetooth mode successfully recorded low-frequency neural signals and multi-channel local field potentials.
Wi-Fi mode achieved high-fidelity recording of high-frequency signals and single-neuron activity with high signal-to-noise ratios.
Wireless stimulation function demonstrated effective current delivery.

Conclusions:

The developed dual-mode wireless BCI system offers an efficient and adaptable solution for neural recording and stimulation.
This technology has significant potential for both fundamental neuroscience research and clinical applications in neural disorder therapies.
The system's flexibility in transmission modes enhances its utility across a wide range of experimental and therapeutic needs.