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Related Experiment Videos

Data acquisition in neurophysiology. A flexible microcomputer system for recording neurophysiological data.

H G McAllister, G A Armstrong, R J McClelland

    British Journal of Audiology
    |November 1, 1983
    PubMed
    Summary

    A new flexible system called DAN, utilizing an Apple microcomputer, enhances the recording of evoked potentials for both research and clinical use. This system allows for customized stimulus parameters and data sampling rates for diverse neurological responses.

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    Area of Science:

    • Neuroscience
    • Biomedical Engineering
    • Computer Science

    Background:

    • Microprocessor technology enables advanced data recording.
    • Evoked and event-related potentials are crucial neurological indicators.
    • Existing systems may lack flexibility for diverse research and clinical needs.

    Purpose of the Study:

    • To develop a versatile system for recording evoked potentials.
    • To create a system adaptable for both research and clinical environments.
    • To accommodate a wide range of neurological responses, from auditory brainstem to cortical.

    Main Methods:

    • Development of the DAN (Data Acquisition Nexus) system using an Apple microcomputer.
    • Integration of a programmable audiometer and a custom hardware interface.

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  • Software development for stimulus generation and data acquisition control.

    • Main Results:

    • The DAN system offers flexibility in selecting standard evoked responses or specifying custom parameters.
    • Hardware components include an Apple microcomputer, dual floppy drives, a data-acquisition interface, a programmable audiometer, and a printer/plotter.
    • Software manages stimulus generation and data acquisition, utilizing separate disk drives for the operating system/programs and data storage.

    Conclusions:

    • The DAN system provides a versatile and adaptable platform for evoked potential recording.
    • Its flexibility supports a broad spectrum of applications in neuroscience research and clinical diagnostics.
    • The integration of microcomputer technology significantly advances the capabilities for analyzing neurological signals.