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An automated computerized method using Finapres for measuring cardiovascular reflexes.

P M Netten1, J M Boots, S J Bredie

  • 1Department of Medicine, University Hospital Nijmegen, The Netherlands.

Clinical Science (London, England : 1979)
|August 1, 1992
PubMed
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This study introduces an automated computerized program for cardiovascular reflex testing, significantly reducing calculation time. The new method for autonomic failure assessment is reproducible and provides age-dependent normal values.

Area of Science:

  • Cardiovascular physiology
  • Autonomic nervous system function
  • Medical instrumentation

Background:

  • Cardiovascular reflex tests are crucial for diagnosing autonomic failure.
  • Conventional methods for these tests are time-consuming due to result calculation.
  • A need exists for a faster, automated approach to assess autonomic function.

Purpose of the Study:

  • To develop and validate an automated computerized program for cardiovascular reflex testing.
  • To measure beat-to-beat heart rate and blood pressure using a finger-based instrument.
  • To reduce the overall time required for autonomic function assessment.

Main Methods:

  • Development of a computerized program utilizing a FINger Arterial PRESsure (FINAPRES) instrument.
  • Measurement of beat-to-beat heart rate and blood pressure.

Related Experiment Videos

  • Standardized tests included forced breathing, standing, Valsalva maneuver, and handgrip.

    • Main Results:

    • The automated program typically completes testing and calculation within 25 minutes.
    • Test reproducibility in normal subjects was comparable to conventional ECG and sphygmomanometer methods.
    • Age-dependent normal values for seven test parameters were established in 124 subjects.
    • Four or more abnormal results were identified in 10 patients with long-standing diabetes.

    Conclusions:

    • The developed automated program offers a time-efficient and reproducible method for cardiovascular reflex testing.
    • This tool aids in the diagnosis and monitoring of autonomic failure, particularly in conditions like diabetes.
    • The program provides valuable age-specific reference data for autonomic function parameters.