Development of wireless brain computer interface with embedded multitask scheduling and its application on real-time...

Area of Science:

• Biomedical Engineering
• Neuroscience
• Signal Processing

Background:

• Existing physiological monitoring systems lack automatic analysis capabilities.
• Advancements in electronic and information technologies drive progress in biomedical signal monitoring.

Purpose of the Study:

• To develop a novel brain-computer interface (BCI) system for real-time electroencephalogram (EEG) signal acquisition and analysis.
• To enable monitoring of human physiological and cognitive states with automatic analysis and warning capabilities.

Main Methods:

• A four-channel biosignal acquisition/amplification module.
• A wireless transmission module (RF/Bluetooth) for flexible data transfer.
• An embedded dual-core processing unit with multitask scheduling for real-time EEG processing.
• Integration of real-time EEG-based drowsiness monitoring and warning algorithms.

Main Results:

• The proposed BCI system successfully acquires and processes EEG signals in real-time.
• The system demonstrates the capability for automatic analysis of physiological and cognitive states.
• Practical online testing confirmed the system's feasibility in real-world environments with warning feedback.

Conclusions:

• The developed BCI system offers a feasible solution for real-time EEG monitoring and analysis.
• The system provides automatic analysis and online warning feedback, enhancing user safety.
• This technology advances brain-computer interfaces for physiological and cognitive state monitoring.