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A versatile physiological data analysis system using an Intel 8080 microprocessor.

D Hyde, E G Nice, P J Oakley

    Journal of Neuroscience Methods
    |August 1, 1979
    PubMed
    Summary
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    A new microprocessor system processes physiological data, enabling real-time mean and variance calculations for experiments. This advanced data processor offers graphical output and detailed histogram analysis capabilities.

    Area of Science:

    • Biomedical Engineering
    • Physiological Monitoring
    • Data Acquisition Systems

    Background:

    • Physiological experiments generate complex data requiring efficient processing.
    • Existing systems may lack real-time analysis capabilities or graphical output.
    • Accurate and rapid data analysis is crucial for understanding physiological responses.

    Purpose of the Study:

    • To develop and implement a microprocessor-based system for processing physiological data.
    • To enable on-line mean and variance calculations with graphical output.
    • To provide advanced histogram analysis for experimental data.

    Main Methods:

    • A microprocessor-based system was designed and realized.
    • The system controls data flow from physiological experiments.

    Related Experiment Videos

  • On-line mean and variance calculations are performed with graphical output.
  • The analyser has a capacity of 128 records with 800 data points each.
  • Post stimulus and interval histogram analysis programs were developed and implemented.

    • Main Results:

    • The system successfully processes physiological data in real-time.
    • On-line mean and variance calculations are accurately performed.
    • Graphical output provides clear visualization of experimental data.
    • Histogram analysis programs are implemented and functional.

    Conclusions:

    • The realized microprocessor-based system effectively processes physiological data.
    • The system enhances the efficiency and accuracy of physiological data analysis.
    • This processor is suitable for real-time monitoring and detailed analysis of physiological experiments.