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Paper-Based Supercapacitive Pressure Sensor for Wrist Arterial Pulse Waveform Monitoring.
Azmal Huda Chowdhury1, Borzooye Jafarizadeh1, Nezih Pala2
1Department of Mechanical and Materials Engineering, Florida International University, Miami, Florida 33174, United States.
This study introduces a low-cost, tissue paper-based capacitive pressure sensor. It offers high sensitivity and a wide sensing range, ideal for accurately detecting physiological signals like arterial pulse waveforms.
Area of Science:
- Materials Science
- Biomedical Engineering
- Sensor Technology
Background:
- Wearable pressure sensors require high sensitivity and broad sensing ranges for physiological monitoring.
- Achieving both high sensitivity and a wide sensing range is challenging and often expensive.
- Existing high-sensitivity sensors can be complex and costly to manufacture.
Purpose of the Study:
- To develop a cost-effective and easily producible capacitive pressure sensor.
- To achieve high sensitivity and a broad sensing range for physiological signal detection.
- To evaluate the sensor's suitability for monitoring wrist arterial pulse waveforms.
Main Methods:
- Fabrication of a capacitive pressure sensor utilizing tissue paper as the core material.
- Characterization of the sensor's sensitivity, sensing range, response time, and pressure resolution.
- Testing the sensor's durability through repeated cycling and its performance in capturing arterial pulse waveforms.
Main Results:
- The tissue paper sensor demonstrated high linear sensitivity (2.9 kPa-1 from 0-16 kPa and 1.5 kPa-1 from 16-90 kPa).
- Achieved a fast response time of 0.2 s and excellent pressure resolution across low and high pressures.
- Successfully captured wrist arterial pulse waveforms and maintained performance after 5000 cycles.
Conclusions:
- The developed tissue paper sensor offers a simple, cost-effective solution for high-performance pressure sensing.
- Its characteristics make it highly suitable for non-invasive monitoring of arterial pulse waveforms.
- This technology may aid in the diagnosis of cardiovascular diseases through accessible pulse waveform analysis.
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