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Evaluating the performance of automated sphygmomanometers using a patient simulator
Bruno Amado Rodrigues Filho1, Rafael Feldmann Farias1, William Escaletti Dos Anjos2
1National Institute of Metrology, Quality and Technology-Inmetro.
Automated blood pressure monitors show significant discrepancies, especially wrist-based models, highlighting the need for standardized algorithms and validation methods. Current validation practices require harmonization, particularly concerning patient simulators.
Area of Science:
- Biomedical Engineering
- Medical Devices
- Cardiovascular Technology
Background:
- Automated sphygmomanometers utilize the oscillometric method, relying on algorithms that link oscillometric pulse amplitude to cuff pressure.
- Current validation relies on manufacturer-specific clinical trials, leading to non-harmonized algorithms based on diverse arterial waveforms.
- This variability necessitates standardized testing to ensure accurate and consistent blood pressure measurements.
Purpose of the Study:
- To evaluate the performance of six automated sphygmomanometers using a patient simulator.
- To assess the impact of non-harmonized algorithms on blood pressure measurement accuracy.
- To identify the need for standardization in validation protocols for automated blood pressure devices.
Main Methods:
- Six automated sphygmomanometers (upper arm and wrist-based) were tested using a patient simulator.
- Simulations covered four distinct blood pressure levels (80/50, 120/80, 150/100, 200/150 mmHg).
- Devices underwent conformity assessment, and measurement repeatability variance was analyzed.
Main Results:
- All devices met metrological requirements (within ±2 mmHg for static calibration).
- Significant discrepancies (>20 mmHg) were found between upper arm and wrist-based models.
- Upper arm devices showed diastolic pressure differences up to 12.8 mmHg.
Conclusions:
- Observed discrepancies have potential clinical implications, underscoring the need for standardized algorithms and harmonized validation.
- Wrist-based device algorithms may be compromised by using brachial artery waveforms for validation.
- Current validation approaches, especially with patient simulators, require standardization.
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