Evaluation of Thoracic Equivalent Multiport Circuits Using an Electrical Impedance Tomography Hardware Simulation Interface

被引:2
作者
Dimas, Christos [1 ]
Alimisis, Vassilis [1 ]
Georgakopoulos, Ioannis [1 ]
Voudoukis, Nikolaos [1 ]
Uzunoglu, Nikolaos [1 ]
Sotiriadis, Paul P. [1 ]
机构
[1] Natl Tech Univ Athens, Dept Elect & Comp Engn, Athens 15780, Greece
关键词
electrical impedance tomography; thoracic model; finite element; simulation; analogue; digital; reconstruction; DIELECTRIC-PROPERTIES; BIOLOGICAL TISSUES; EIT RECONSTRUCTION; ELECTRODE MODELS; SYSTEM; MOVEMENT;
D O I
10.3390/technologies9030058
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Electrical impedance tomography is a low-cost, safe, and high temporal resolution medical imaging modality which finds extensive application in real-time thoracic impedance imaging. Thoracic impedance changes can reveal important information about the physiological condition of patients' lungs. In this way, electrical impedance tomography can be a valuable tool for monitoring patients. However, this technique is very sensitive to measurement noise or possible minor signal errors, coming from either the hardware, the electrodes, or even particular biological signals. Thus, the design of a good performance electrical impedance tomography hardware setup which properly interacts with the tissue examined is both an essential and a challenging concept. In this paper, we adopt an extensive simulation approach, which combines the system's analogue and digital hardware, along with equivalent circuits of 3D finite element models that represent thoracic cavities. Each thoracic finite element model is created in MATLAB based on existing CT images, while the tissues' conductivity and permittivity values for a selected frequency are acquired from a database using Python. The model is transferred to a multiport RLC network, embedded in the system's hardware which is simulated at LT SPICE. The voltage output data are transferred to MATLAB where the electrical impedance tomography signal sampling and digital processing is also simulated. Finally, image reconstructions are performed in MATLAB, using the EIDORS library tool and considering the signal noise levels and different electrode and signal sampling configurations (ADC bits, sampling frequency, number of taps).
引用
收藏
页数:22
相关论文
共 61 条
[1]   Uses and abuses of EIDORS: an extensible software base for EIT [J].
Adler, A ;
Lionheart, WRB .
PHYSIOLOGICAL MEASUREMENT, 2006, 27 (05) :S25-S42
[2]   Electrical Impedance Tomography: Tissue Properties to Image Measures [J].
Adler, Andy ;
Boyle, Alistair .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2017, 64 (11) :2494-2504
[3]   Adjacent stimulation and measurement patterns considered harmful [J].
Adler, Andy ;
Gaggero, Pascal Olivier ;
Maimaitijiang, Yasheng .
PHYSIOLOGICAL MEASUREMENT, 2011, 32 (07)
[4]   GREIT: a unified approach to 2D linear EIT reconstruction of lung images [J].
Adler, Andy ;
Arnold, John H. ;
Bayford, Richard ;
Borsic, Andrea ;
Brown, Brian ;
Dixon, Paul ;
Faes, Theo J. C. ;
Frerichs, Inez ;
Gagnon, Herve ;
Gaerber, Yvo ;
Grychtol, Bartlomiej ;
Hahn, Guenter ;
Lionheart, William R. B. ;
Malik, Anjum ;
Patterson, Robert P. ;
Stocks, Janet ;
Tizzard, Andrew ;
Weiler, Norbert ;
Wolf, Gerhard K. .
PHYSIOLOGICAL MEASUREMENT, 2009, 30 (06) :S35-S55
[5]  
Albulbul Anas, 2016, Bioengineering-Basel, V3, DOI 10.3390/bioengineering3030020
[6]   Analog Realization of Fractional-Order Skin-Electrode Model for Tetrapolar Bio-Impedance Measurements [J].
Alimisis, Vassilis ;
Dimas, Christos ;
Pappas, Georgios ;
Sotiriadis, Paul P. .
TECHNOLOGIES, 2020, 8 (04)
[7]   Simultaneous EIT and EEG using frequency division multiplexing [J].
Avery, James ;
Dowrick, Tom ;
Witkowska-Wrobel, Anna ;
Faulkner, Mayo ;
Aristovich, Kirill ;
Holder, David .
PHYSIOLOGICAL MEASUREMENT, 2019, 40 (03)
[8]   Tracking boundary movement and exterior shape modelling in lung EIT imaging [J].
Biguri, A. ;
Grychtol, B. ;
Adler, A. ;
Soleimani, M. .
PHYSIOLOGICAL MEASUREMENT, 2015, 36 (06) :1119-1135
[9]   Principles of electrical impedance tomography and its clinical application [J].
Bodenstein, Marc ;
David, Matthias ;
Markstaller, Klaus .
CRITICAL CARE MEDICINE, 2009, 37 (02) :713-724
[10]  
Boyle A., 2018, P 19 C BIOM APPL EL, P20