Proceedings of the 2016 International Conference on Biomedical and Biological Engineering

Research on Embedded Electrical Impedance Measurement System

Authors
Xiaoyan Chen, Liang Sun, Meng Du
Corresponding Author
Xiaoyan Chen
Available Online July 2016.
DOI
https://doi.org/10.2991/bbe-16.2016.1How to use a DOI?
Keywords
ARM processor, AD5933, QT, Impedance tomography.
Abstract
Based on S3C2440 processor and Linux3.6.6 kernel, wedeveloped an embedded impedance measurement system. This embedded system employ AD5933 as the impedance sensor, and data communication between AD5933 and S3C2440 processor is implemented with IIC communication protocol. In addition, the measurement resultsare displayed on the interface that is developed with QT.After modeling and solving the inverse problem by Newton Gauss algorithm, the distribution images of the object in the field are finally reconstructed satisfactorily. The research work offers a feasible and portable solution for clinical application of digital medical technology
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Biomedical and Biological Engineering
Part of series
Advances in Biological Sciences Research
Publication Date
July 2016
ISBN
978-94-6252-216-9
ISSN
2468-5747
DOI
https://doi.org/10.2991/bbe-16.2016.1How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaoyan Chen
AU  - Liang Sun
AU  - Meng Du
PY  - 2016/07
DA  - 2016/07
TI  - Research on Embedded Electrical Impedance Measurement System
BT  - International Conference on Biomedical and Biological Engineering
PB  - Atlantis Press
SN  - 2468-5747
UR  - https://doi.org/10.2991/bbe-16.2016.1
DO  - https://doi.org/10.2991/bbe-16.2016.1
ID  - Chen2016/07
ER  -