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A Temperature-Pressure Dual-Mode Flexible Patch Sensor with Temperature Compensation and Pressure Decoupling
Yuechao Ma1, Wenjie Zhao1, Ruitian Yan1
1School of Measurement and Control Technology and Communication Engineering, Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentation, Harbin University of Science and Technology, Harbin 150080, China.
This study introduces a novel dual-mode flexible sensor for accurate pulse wave detection. It effectively separates pressure and temperature signals, enabling reliable health monitoring even in fluctuating thermal conditions.
Area of Science:
- Materials Science
- Biomedical Engineering
- Wearable Technology
Background:
- Conventional flexible pulse sensors are often single-mode, limiting their accuracy due to interference from temperature fluctuations.
- Developing integrated dual-mode sensors is difficult due to challenges in decoupling pressure and temperature signals.
Purpose of the Study:
- To develop a dual-mode flexible patch sensor for accurate and continuous human pulse wave detection.
- To overcome the limitations of single-mode sensors by effectively decoupling pressure and temperature signals.
- To enable interference-resistant physiological monitoring under dynamic thermal conditions.
Main Methods:
- A novel dual-mode flexible patch sensor with a unique "compass-like" structural design was fabricated.
- The sensor's pressure detection range (50 Pa-200 kPa) and response/recovery times (60/96 ms) were evaluated.
- An integrated temperature-sensing unit with 0.1 °C resolution was incorporated.
- The sensor's ability to decouple pressure and temperature signals was tested, showing minimal resistance fluctuations (0.102% up to 30 kPa).
- Real-time temperature compensation of the pressure signal was achieved using the independent temperature signal.
- The compensated pressure signal's temperature drift was measured across a range of temperatures (5-45 °C).
- A ResNet-based deep learning model was integrated for pulse signal classification.
Main Results:
- The dual-mode sensor demonstrated robust pressure decoupling from temperature signals.
- The compensated pressure signal exhibited minimal temperature drift (41 × 10-6 °C-1).
- The sensor enabled stable, interference-resistant monitoring of radial artery pulse waves.
- Integration with a deep learning model achieved 97.6% accuracy in classifying diverse pulse signals.
Conclusions:
- The developed dual-mode flexible sensor offers an effective solution for interference-resistant wearable electronics.
- This technology has significant potential for intelligent disease diagnosis and sports health management.
- The unique structural design facilitates stable and accurate pulse wave monitoring under dynamic thermal conditions.
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