Implementation of array sensor module for a radial artery tonometry.
Ki Young Shin1, Sung Chae Jeon, Ki Chang Nam
1Korea Electrotechnology Research Institute, Ansan, Korea. kyshin79@gmail.com
Researchers developed a novel array sensor module with 7 piezoresistive sensors to accurately measure radial artery pulse waves. This innovative device demonstrates high precision for non-invasive pulse wave detection.
Area of Science:
- Biomedical Engineering
- Medical Devices
- Sensor Technology
Background:
- Accurate pulse wave measurement is crucial for cardiovascular health assessment.
- Existing methods may have limitations in sensitivity or invasiveness.
- Development of novel sensor technologies is needed for improved diagnostics.
Purpose of the Study:
- To develop and validate an array sensor module for measuring radial artery pulse waves.
- To assess the performance characteristics of the developed piezoresistive pressure sensors.
- To confirm the module's capability in clearly detecting pulse wave signals.
Main Methods:
- Fabrication of an array sensor module integrating 7 piezoresistive sensors (1x1 mm).
- Construction using PCB, silicon guides, and polydimethylsiloxane (PDMS) for sensor protection and signal transmission.
- Calibration and testing of sensor module performance using controlled intra-chamber pressure increments (60-220 mmHg).
Main Results:
- The developed sensor module demonstrated high accuracy, with a coefficient of determination (r^2) > 0.999 during pressure characteristic testing.
- The array sensor module successfully and clearly detected the pulse wave signals from the radial artery.
- The integrated PDMS layer effectively protected the sensors and wiring while ensuring faithful pressure transmission.
Conclusions:
- The developed array sensor module is suitable for accurate radial artery pulse wave measurement.
- The sensor module exhibits excellent performance characteristics for non-invasive cardiovascular monitoring.
- This technology holds promise for advancing pulse wave analysis and related diagnostic applications.
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