A real-time software system on the PDP-11 for two-channel EEG spectral analysis during surgery

Area of Science:

• Neuroscience
• Biomedical Engineering
• Computer Science

Background:

• Real-time monitoring of brain activity is crucial during anesthesia.
• Traditional EEG analysis methods can be time-consuming and less informative for dynamic trends.
• Evaluating brain function under anesthesia requires efficient data processing and visualization.

Purpose of the Study:

• To develop and implement a real-time system for processing and analyzing electroencephalogram (EEG) data.
• To enable the visualization of EEG spectral trends during anesthesia.
• To facilitate the assessment of brain function during surgical procedures.

Main Methods:

• A stand-alone program written in PDP-11 assembly language was developed.
• Two channels of EEG data were acquired using quantization techniques.
• Spectral analysis of EEG data was performed in real time.
• Time-compressed spectral profiles were generated and displayed on an X-Y plotter.

Main Results:

• The system successfully acquired and processed EEG data in real time.
• Spectral analysis provided insights into EEG data.
• Time-compressed spectral profiles offered a clear visualization of EEG trends.
• The method demonstrated the capability to track EEG changes during anesthesia.

Conclusions:

• The developed real-time EEG analysis system effectively provides brain function trends during anesthesia.
• This method allows for the evaluation of brain function by visualizing spectral profiles.
• The system offers a valuable tool for monitoring neurological status in anesthetized patients.