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Computerized artifact detection for ventilatory inductance plethysmographic apnea monitors
K A East1, T D East, V J Mathews
1Department of Anesthesiology, University of Utah, Salt Lake City 84132.
Journal of Clinical Monitoring
|July 1, 1989
Summary
This study developed an adaptive filter to detect patient movements that cause errors in ventilatory inductive plethysmography (VIP). The new filter accurately identified breathing artifacts, improving the reliability of VIP measurements.
Area of Science:
- Biomedical Engineering
- Respiratory Physiology
Background:
- Ventilatory inductive plethysmography (VIP) is a noninvasive method for monitoring patient ventilation.
- Patient movements unrelated to breathing introduce significant errors in VIP measurements, limiting its clinical utility.
Purpose of the Study:
- To develop and validate a microprocessor-based, real-time digital signal processor using an adaptive filter.
- To accurately detect patient movements that cause artifacts in VIP measurements.
Main Methods:
- An adaptive filter processor was developed and tested for artifact identification.
- 20 male volunteers performed various movements (e.g., limb movements, sitting up, breathing changes, rolling over).
- Multilinear regression calculated calibration constants between pneumotachography and VIP signals.
Main Results:
- Patient movements caused dramatic changes (88%) in calibration coefficients, leading to potential errors in flow calculations.
- The adaptive filter accurately detected all total body movements and breathing pattern changes.
- The filter successfully identified a high percentage of upper body (46/53) and lower body (34/36) movements.
Conclusions:
- The developed adaptive filter effectively detects artifacts caused by patient movement during VIP monitoring.
- This technology has the potential to significantly improve the accuracy and reliability of noninvasive ventilation monitoring.