Two-processor system, based on the ZX-Spectrum microcomputer and the CAMAC modular system, for the analysis of...

Area of Science:

• Physiological data analysis
• Computer systems in research
• Experimental data management

Background:

• Traditional physiological data analysis can be resource-intensive.
• Need for accessible and efficient computational tools in experimental research.
• Integration of data acquisition and analysis is crucial.

Purpose of the Study:

• To design and implement a cost-effective computer system for physiological data analysis.
• To enable both online and offline analysis of experimental data.
• To provide a versatile platform for physiological research.

Main Methods:

• Development of a computer system using readily available components.
• Integration of standard software, including a cross-assembler for CAMAC.
• System validation through experiments on respiratory neurons.

Main Results:

• Successful design and setup of a functional computer system.
• Demonstrated capability for both online and offline data analysis.
• Verified system performance in real-time physiological experiments.

Conclusions:

• The developed system offers a cost-efficient solution for physiological data analysis.
• The system facilitates efficient processing and analysis of experimental results.
• This approach enhances the accessibility of advanced data analysis tools for researchers.