Paper
27 March 2019 Optimal design of electrodes for an electrical impedance tomography based flexible sensor
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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.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rui Li, Zhiliang Hao, Wenjun Mu, and Xiaojie Wang "Optimal design of electrodes for an electrical impedance tomography based flexible sensor", Proc. SPIE 10970, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019, 109702R (27 March 2019); https://doi.org/10.1117/12.2513812
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Cited by 2 scholarly publications.
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KEYWORDS
Electrodes

Sensors

Target detection

Target recognition

Particle swarm optimization

Sensor performance

Tomography

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