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Development of a Multi-Array Pressure Sensor Module for Radial Artery Pulse Wave Measurement.
Donggeun Roh1, Sangjin Han1, Junyung Park1
1Department of Biomedical Engineering, Chonnam National University, 50 Daehak-ro, Yeosu 59626, Korea.
Sensors (Basel, Switzerland)
|December 22, 2019
Summary
A novel hexagonal multi-array pressure sensor reduces errors in noninvasive radial artery pulse wave measurement. This physiological monitoring tool shows promise for accurate pulse wave sensing.
Area of Science:
- Biomedical Engineering
- Sensor Technology
- Physiological Monitoring
Background:
- Noninvasive radial artery pulse wave measurement is crucial for physiological monitoring.
- Existing methods face errors due to measurement position and direction.
- Accurate pulse wave analysis requires precise and reliable sensor technology.
Purpose of the Study:
- To propose and evaluate a new pressure sensor module structure for enhanced radial artery pulse wave measurement.
- To minimize measurement errors associated with position and direction in noninvasive sensing.
- To develop a modular sensor with a hexagonal array for improved radial artery conformity.
Main Methods:
- Development of a multi-array pressure sensor with a hexagonal arrangement using polydimethylsiloxane.
- Evaluation through finite element method (FEM) simulation, push-pull gauge testing, and experimental pulse wave measurement.
- Sensor characterization including measuring area (17.6 × 17.6 mm²) and modular design with embedded analog front end.
Main Results:
- FEM simulation demonstrated linear response to external pressure.
- Push-pull gauge tests revealed inter-channel variations, addressable by a correction formula.
- Calibrated output achieved a root-mean-squared error of 0.267 kPa, ensuring linearity.
Conclusions:
- The proposed multi-array sensor structure effectively reduces errors in radial artery pulse wave measurement.
- The developed sensor exhibits promising linearity and accuracy after calibration.
- Further research on inter-individual differences is needed, but the sensor shows potential for clinical application in physiological monitoring.
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