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Development of a high-speed current injection and voltage measurement system for electrical impedance tomography-based stretchable sensors

Russo, S; Nefti-Meziani, S; Carbonaro, N; Tognetti, A

Development of a high-speed current injection and voltage measurement system for electrical impedance tomography-based stretchable sensors Thumbnail


Authors

S Russo

S Nefti-Meziani

N Carbonaro

A Tognetti



Abstract

In common EIT systems, the voltage data are serially measured by means of multiplexers, and are hence collected at slightly different times, which affects the real-time performance of the system. They also tend to have complicated hardware, which increases power consumption. In this paper, we present our design of a 16-electrode high-speed EIT system that simultaneously implements constant current injection and differential potential measurements. This leads to a faster, simpler-to-implement and less-noisy technique, when compared with traditional EIT approaches. Our system consists of a Howland current pump with two multiplexers for a constant DC current supply, and a data acquisition card. It guarantees a data collection rate of 78 frames/s. The results from our conductive stretchable fabric sensor show that the system successfully performs voltage data collection with a mean signal-to-noise ratio (SNR) of 55 dB, and a mean absolute deviation (MAD) of 0.5mV. The power consumption can be brought down to 3mW; therefore, it is suitable for battery-powered applications.
Finally, pressure contacts over the sensor are properly reconstructed, thereby validating the efficiency of our EIT system for soft and stretchable sensor applications.

Citation

Russo, S., Nefti-Meziani, S., Carbonaro, N., & Tognetti, A. (2017). Development of a high-speed current injection and voltage measurement system for electrical impedance tomography-based stretchable sensors. Technologies, 5(3), 48. https://doi.org/10.3390/technologies5030048

Journal Article Type Article
Acceptance Date Jul 21, 2017
Online Publication Date Jul 26, 2017
Publication Date Jul 26, 2017
Deposit Date Aug 29, 2017
Publicly Available Date Aug 29, 2017
Journal Technologies
Electronic ISSN 2227-7080
Publisher MDPI
Volume 5
Issue 3
Pages 48
DOI https://doi.org/10.3390/technologies5030048
Publisher URL http://dx.doi.org/10.3390/technologies5030048
Related Public URLs http://www.mdpi.com/journal/technologies
Additional Information Projects : Smart-e

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