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Articles linked to this work by shared authors, journal, and citation graph.

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Same author

[The RA6-02 rheoanalyzer for studying systemic hemodynamics by the methods of tetrapolar and focusing rheography].

Meditsinskaia tekhnika·1995
Same author

[The RA5-01 rheoanalyzer].

Meditsinskaia tekhnika·1990
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Automated Analysis of Dynamic Ca2+ Signals in Image Sequences
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[Algorithm for the automated processing of rheosignals].

G S Odinets

    Meditsinskaia Tekhnika
    |March 1, 1988
    PubMed
    Summary

    This study presents an algorithm for recognizing rheosignals using a microprocessing device. The developed algorithm automates rheosignal registration and processing, accommodating signal variability.

    Area of Science:

    • Biomedical Engineering
    • Signal Processing
    • Medical Devices

    Background:

    • Rheosignals are crucial physiological indicators.
    • Accurate registration and processing of rheosignals are essential for diagnostic applications.
    • Existing methods may lack automation and adaptability to signal variability.

    Purpose of the Study:

    • To develop and examine an algorithm for rheosignal recognition.
    • To enable automated registration and processing of rheosignals.
    • To account for the inherent changeability of rheosignals.

    Main Methods:

    • Development of a novel algorithm for rheosignal recognition.
    • Implementation on a microprocessing device.
    • Integration of automated and manual cursor control for data analysis.

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    Main Results:

    • The algorithm successfully automates rheosignal registration.
    • Processing of rheosignals is enhanced by the algorithm.
    • The system effectively handles variations in rheosignal characteristics.

    Conclusions:

    • The proposed algorithm offers an efficient solution for rheosignal analysis.
    • Automation improves the reliability and speed of rheosignal processing.
    • The approach is adaptable to dynamic physiological signal changes.