Fully Parallel Electrical Impedance Tomography Using Code Division Multiplexing

IF 3.8 2区 医学 Q2 ENGINEERING, BIOMEDICAL IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2016-06-01 DOI:10.1109/TBCAS.2015.2487321
M. Tsoeu, M. Inggs
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引用次数: 10

Abstract

Electrical Impedance Tomography (EIT) has been dominated by the use of Time Division Multiplexing (TDM) and Frequency Division Multiplexing (FDM) as methods of achieving orthogonal injection of excitation signals. Code Division Multiplexing (CDM), presented in this paper is an alternative that eliminates temporal data inconsistencies of TDM for fast changing systems. Furthermore, this approach eliminates data inconsistencies that arise in FDM when frequency bands of current injecting electrodes are chosen over frequencies that have large changes in the imaged object's impedance. To the authors knowledge no fully functional wideband system or simulation platform using simultaneous injection of Gold codes currents has been reported. In this paper, we formulate, simulate and develop a fully functional pseudo-random (Gold) code driven EIT system with 15 excitation currents and 16 separate voltage measurement electrodes. In the work we verify the use of CDM as a multiplexing modality in simultaneous injection EIT, using a prototype system with an overall bandwidth of 15 kHz, and attainable speed of 462 frames/s using codes with a period of 31 chips. Simulations and experiments are performed using the Electrical Impedance and Diffuse Optics Reconstruction Software (EIDORS). We also propose the use of image processing on reconstructed images to establish their quality quantitatively without access to raw reconstruction data. The results of this study show that CDM can be successfully used in EIT, and gives results of similar visual quality to TDM and FDM. Achieved performance shows average position error of 3.5% and size error of 6.2%.
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使用码分复用的全并行电阻抗层析成像
电阻抗层析成像(EIT)一直被使用时分复用(TDM)和频分复用(FDM)作为实现激励信号正交注入的方法所主导。码分复用(Code Division Multiplexing, CDM)是一种消除时分复用(TDM)在快速变化系统中的时间数据不一致性的方法。此外,当电流注入电极的频带选择在成像对象阻抗变化较大的频率上时,这种方法消除了FDM中出现的数据不一致。据作者所知,没有使用同时注入金码电流的全功能宽带系统或仿真平台已被报道。在本文中,我们设计、仿真和开发了一个全功能的伪随机码驱动EIT系统,该系统具有15个励磁电流和16个独立的电压测量电极。在工作中,我们验证了CDM作为同时注入EIT的多路复用方式的使用,使用总带宽为15 kHz的原型系统,使用周期为31个芯片的代码可达到462帧/秒的速度。利用电阻抗和漫射光学重建软件(EIDORS)进行了仿真和实验。我们还建议在重建图像上使用图像处理来定量地确定其质量,而无需访问原始重建数据。研究结果表明,CDM可以成功地应用于EIT,并获得与TDM和FDM相似的视觉质量。实现的性能显示,平均位置误差为3.5%,尺寸误差为6.2%。
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来源期刊
IEEE Transactions on Biomedical Circuits and Systems
IEEE Transactions on Biomedical Circuits and Systems 工程技术-工程:电子与电气
CiteScore
10.00
自引率
13.70%
发文量
174
审稿时长
3 months
期刊介绍: The IEEE Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems Society to a wide variety of related areas such as: • Bioelectronics • Implantable and wearable electronics like cochlear and retinal prosthesis, motor control, etc. • Biotechnology sensor circuits, integrated systems, and networks • Micropower imaging technology • BioMEMS • Lab-on-chip Bio-nanotechnology • Organic Semiconductors • Biomedical Engineering • Genomics and Proteomics • Neuromorphic Engineering • Smart sensors • Low power micro- and nanoelectronics • Mixed-mode system-on-chip • Wireless technology • Gene circuits and molecular circuits • System biology • Brain science and engineering: such as neuro-informatics, neural prosthesis, cognitive engineering, brain computer interface • Healthcare: information technology for biomedical, epidemiology, and other related life science applications. General, theoretical, and application-oriented papers in the abovementioned technical areas with a Circuits and Systems perspective are encouraged to publish in TBioCAS. Of special interest are biomedical-oriented papers with a Circuits and Systems angle.
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