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An electronic simulator for testing infant apnoea monitors that uses actual physiologic data
J T Zoldak1, H L Watson, D B Bolduc
1Electronics Design Center, Case Western Reserve University, Cleveland, OH, USA.
Physiological Measurement
|June 20, 2001
Summary
A novel electronic simulator using real infant physiologic waveforms was developed for infant monitor testing. This tool revealed that monitor agreement on apnea duration decreases with signal artifact, similar to human scoring inconsistencies.
Area of Science:
- Biomedical Engineering
- Neonatal Physiology
- Medical Device Testing
Background:
- Infant monitoring devices are crucial for detecting critical events like apnea and bradycardia.
- Existing testing methods often rely on artificial signals, potentially limiting real-world performance assessment.
- The Collaborative Home Infant Monitor Evaluation (CHIME) project highlighted the need for standardized and realistic monitor evaluation.
Purpose of the Study:
- To design, construct, and validate an electronic simulator for physiologic signals used in infant monitoring.
- To assess the performance and inter-device agreement of infant monitors using realistic, recorded infant waveforms.
- To evaluate the impact of signal artifact on monitor accuracy in detecting apnea and bradycardia.
Main Methods:
- Developed an electronic simulator incorporating actual infant-recorded breathing and heart rate (QRS complex) waveforms.
- Tested transthoracic-impedance- and inductance-plethysmography-based monitors using stored waveforms.
- Utilized programmable 60-second epochs of simulated physiologic data, including 17 apnea and bradycardia waveforms.
- Evaluated the performance of 66 CHIME monitors with the simulator.
Main Results:
- The simulator demonstrated constant transfer characteristics for respiration channels between 0.5 to 8 Hz.
- Monitor agreement on detected apnea duration decreased significantly as signal artifact increased.
- Discrepancies in apnea duration detection among monitors were comparable to inconsistencies observed in manual scoring by human investigators.
Conclusions:
- The developed electronic simulator provides a realistic platform for testing infant monitoring devices.
- Signal artifact is a critical factor affecting the accuracy and reliability of apnea detection by infant monitors.
- The simulator's findings suggest that monitor performance variability may be influenced by factors similar to those causing human scoring inconsistencies.