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Published on: March 17, 2023
A Plantar Pressure Sensing System with Balancing Sensitivity Based on Tailored MWCNTs/PDMS Composites
Xuefeng Zhang1, Running Chai2, Haitao Wang3
1Shaanxi Key Laboratory of Nano Materials and Technology, Xi'an University of Architecture and Technology, Xi'an 710055, Shaanxi, China. xfzhang@xauat.edu.cn.
This study developed a flexible plantar pressure sensor using a piezoresistive composite for everyday gait analysis and disease diagnosis. The sensor demonstrates repeatable responses and accurate pressure measurement for foot health monitoring.
Area of Science:
- Materials Science
- Biomedical Engineering
- Sensor Technology
Background:
- Plantar pressure measurement is crucial for gait analysis and diagnosing foot-related conditions.
- Existing sensors often lack the flexibility, durability, or cost-effectiveness for widespread daily use.
Purpose of the Study:
- To design and fabricate a novel flexible plantar pressure sensor with a simple structure for everyday applications.
- To characterize the performance of the sensor and validate its utility in real-world scenarios.
Main Methods:
- Fabrication of a piezoresistive composite using multiwall carbon nanotubes (MWCNTs) dispersed in a polydimethylsiloxane (PDMS) matrix via a solution method.
- Development of a laminated sensor with eight sensing elements, utilizing a flexible printed circuit board as electrodes.
- Implementation of a signal processing system for converting resistance changes to voltage signals.
Main Results:
- The sensor exhibited a repeatable response with a sensitivity of 11.5 mV/kPa within a 265 kPa range.
- Experimental validation confirmed the sensor's capability to measure plantar pressure accurately.
- The sensor demonstrated potential for gait detection and disease diagnosis applications.
Conclusions:
- The developed flexible plantar pressure sensor offers a simple, accessible, and effective solution for continuous foot pressure monitoring.
- This technology holds promise for advancing personalized healthcare through improved gait analysis and early disease detection.
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