Bilal, Rabia, Bilal, Muhammad, Chatwin, Chris and Young, Rupert (2017) A feasibility study of wireless Sussex MK4 system for electrical impedance mammography. International Journal of Applied Engineering Research, 12 (12). pp. 3275-3281. ISSN 0973-4562

PDF - Published Version Restricted to SRO admin only Download (489kB)

Abstract

Electrical Impedance Mammography has been the field of interest in recent years in the area of breast care monitoring. This paper proposes a wireless planar array EIM data acquisition system ensuring low cost, reliable, accurate and efficient system. The proposed wireless planar array EIM system consists of wireless nodes, a gateway and a computer. This proposed system could not only reduces the noise interference from the conventional wired data acquisition system, which is one of the most talked about issues as well as increases the number of independent measurements which are very important for data acquisition and image reconstruction. The current planar EIM system’s limitation of using fixed number of electrodes can be improved by increasing the number of electrodes to improve the quality of information. Practical difficulty of applying large number of electrodes to the current system includes space limitation due the sealed synthetic covering comprising of driving circuitry and the programmable switching network. By the use of wireless nodes for transmitting and receiving the measurements, acquisition and the digital circuitry will be isolated from the system receiving and transmitting the measurements and the control signals through a radio link. Preliminary investigation has demonstrated that the system is successful; accurate and optimized for the current planar EIM system.

Item Type:	Article
Keywords:	electrical impedance mammography, wireless sensor network, electrical impedance tomography, breast cancer detection, data acquisition system, planar array system
Schools and Departments:	School of Engineering and Informatics > Engineering and Design
Research Centres and Groups:	Industrial Informatics and Signal Processing Research Group
Subjects:	Q Science > QA Mathematics > QA0299 Analysis. Including analytical methods connected with physical problems R Medicine > R Medicine (General) > R855 Medical technology R Medicine > R Medicine (General) > R856 Biomedical engineering. Electronics. Instrumentation T Technology > T Technology (General) > T0010 Communication of technical information T Technology > TA Engineering (General). Civil engineering (General) > TA0164 Bioengineering
Related URLs:	Organisation
Depositing User:	Chris Chatwin
Date Deposited:	13 Jul 2017 09:07
Last Modified:	21 Jul 2017 15:34
URI:	http://srodev.sussex.ac.uk/id/eprint/69222

View download statistics for this item

📧 Request an update