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Related Experiment Videos

Microprocessor-based long term cardiorespirography. I. Heart rate changes and apneic attacks.

H Hörnchen, R Betz, V Siller

    Journal of Perinatal Medicine
    |January 1, 1983
    PubMed
    Summary
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    This study evaluated a microprocessor system for neonatal cardiorespirography alarms. The system accurately identified most bradycardia and tachycardia, but apnea detection needed optimization for fewer false alarms.

    Area of Science:

    • Neonatal intensive care
    • Medical device technology
    • Cardiorespiratory monitoring

    Background:

    • Cardiorespirography is essential for continuous neonatal monitoring.
    • Existing systems register apneic attacks, bradycardia, and tachycardia.
    • Microprocessor integration offers potential for automated alarm event logging.

    Purpose of the Study:

    • To assess the reliability of a microprocessor-assisted cardiorespirography system.
    • To evaluate the accuracy of alarm classification for apneic episodes, tachycardia, and bradycardia.
    • To optimize alarm parameters for improved clinical utility.

    Main Methods:

    • A microprocessor system was connected to a cardiorespirography recorder.
    • Alarm events (apnea, tachycardia, bradycardia) were defined and logged.

    Related Experiment Videos

  • System performance was validated by comparing printouts to simultaneous cardiorespirograms in 41 neonates.

    • Main Results:

    • Tachycardia alarms showed perfect concordance with cardiograms.
    • Most bradycardia events, including complex types, were correctly classified.
    • A 10-second apnea setting yielded many false positives; a 20-second setting reduced false alarms but missed nine events.
    • Overall accuracy was 81.5% correct alarms, 16.8% false alarms, with 2% missed alarms.

    Conclusions:

    • The microprocessor system demonstrates high reliability for tachycardia and bradycardia detection.
    • Apnea detection requires parameter adjustment to balance sensitivity and specificity.
    • Future improvements may involve integrating beat-to-beat heart rate and respiration wave storage before alarms.