A Human Body Pressure Distribution Imaging System Based on Wavelet Analysis and Resistance Tomography

Area of Science:

• Electrical Engineering
• Sensor Technology
• Signal Processing

Background:

• Traditional electrode-type pressure sensors require numerous electrodes, increasing production costs.
• Existing sensors face challenges with signal noise and limited imaging capabilities.

Purpose of the Study:

• To develop a cost-effective and high-performance pressure distribution sensing system.
• To improve the anti-jamming capabilities and imaging quality of pressure sensors.

Main Methods:

• Utilizing wavelet analysis for signal preprocessing to enhance anti-jamming performance.
• Employing resistance tomography for real-time pressure distribution imaging.
• Integrating components like ADS1256, Raspberry Pi, and a touch screen.

Main Results:

• Wavelet analysis preprocessing demonstrably improves the quality of pressure distribution imaging.
• The developed system offers a reliable method for sensing pressure distribution using conductive silica gel.
• The system overcomes the limitations of traditional electrode-based sensors.

Conclusions:

• The proposed system provides a viable and cost-effective solution for pressure distribution sensing.
• Wavelet analysis is crucial for enhancing signal quality and imaging accuracy.
• Resistance tomography enables effective real-time visualization of pressure fields.