A distributed microcomputer-controlled system for data acquisition and power spectral analysis of EEG.

Area of Science:

• Neuroscience
• Biomedical Engineering
• Computer Science

Background:

• Electroencephalogram (EEG) spectral analysis is crucial for understanding brain activity.
• Existing systems can be expensive or lack sufficient speed and resolution.
• There is a need for accessible, high-performance EEG analysis tools.

Purpose of the Study:

• To present a powerful, cost-effective microcomputer-based system for EEG spectral analysis.
• To detail the hardware and software components enabling high-resolution and rapid analysis.
• To demonstrate the system's utility through initial animal study applications.

Main Methods:

• System design incorporates INTEL Math co-processors 8087 for rapid transcendental function computation.
• Distributed data acquisition is achieved using a microprocessor-based analog-to-digital converter (Cyborg ISAAC-2000) with substantial resident memory.
• Compiled BASIC programs and assembly language subroutines facilitate on-line and off-line Fast Fourier Transform (FFT) and spectral analysis.

Main Results:

• The system achieves high resolution and speed in EEG spectral analysis.
• It demonstrates versatility through its distributed data acquisition hardware organization.
• Initial tests in animal studies show successful application of the complete system for EEG data processing.

Conclusions:

• The developed microcomputer system provides a powerful and economical solution for EEG spectral analysis.
• The integration of advanced microprocessors and distributed data acquisition enhances analytical capabilities.
• This system holds potential for advancing neuroscience research through accessible, high-performance EEG analysis.