Share Email Print
cover

Proceedings Paper • new

Optimal design of electrodes for an electrical impedance tomography based flexible sensor
Author(s): Rui Li; Zhiliang Hao; Wenjun Mu; Xiaojie Wang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

A large flexible sensor based on electrical impedance tomography (EIT) is limited in detection area and resolution. It can be improved by introducing center electrodes. However, the number, the position and the new drive patterns will have a great impact on the performance of the sensors with large area. Based on the typical 16-electrode flexible sensor, one, two and four center electrodes are introduced in the design to improve the sensors’ resolution, and the new drive patterns for current injection and voltage measurement are proposed. In evaluating the performance of flexible sensors for the different drive patterns, the detecting resolution and position error are obtained for different numbers of center electrodes. Simulation results show that the flexible sensor with two center electrodes has a satisfactory detection accuracy. And one of the center electrodes is used for current injection and the other is used for voltage measurement. Mainly considering the resolution and position error, the particle swarm optimization (PSO) algorithm is used to optimize the position of the center electrodes. The simulation results show that when the center electrodes are positioned at 0.24 from the center, the flexible sensor has a better performance for multi-objective recognition. Compared with the typical 16-electrode flexible sensor, the detection position error can be reduced by 85.1%. This study provides a new method for finding the suitable number and position of the center electrodes for the design of large EIT based flexible sensors.

Paper Details

Date Published: 27 March 2019
PDF: 19 pages
Proc. SPIE 10970, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019, 109702R (27 March 2019); doi: 10.1117/12.2513812
Show Author Affiliations
Rui Li, Chongqing Univ. of Posts and Telecommunications (China)
Zhiliang Hao, Chongqing Univ. of Posts and Telecommunications (China)
Hefei Institutes of Physical Sciences (China)
Wenjun Mu, Chongqing Univ. of Posts and Telecommunications (China)
Xiaojie Wang, Hefei Institutes of Physical Science (China)


Published in SPIE Proceedings Vol. 10970:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019
Jerome P. Lynch; Haiying Huang; Hoon Sohn; Kon-Well Wang, Editor(s)

© SPIE. Terms of Use
Back to Top