Robust electrical impedance tomography for biological application: A mini review

被引:7
|
作者
Li, Yang [1 ]
Wang, Nan [1 ]
Fan, Li-Feng [2 ]
Zhao, Peng-Fei [3 ]
Li, Jin-Hai [4 ]
Huang, Lan [1 ]
Wang, Zhong-Yi [1 ]
机构
[1] China Agr Univ, Coll Informat & Elect Engn, Beijing, Peoples R China
[2] Peking Univ, Sch Elect, Beijing, Peoples R China
[3] China Elect Standardizat Inst, Beijing, Peoples R China
[4] Ningxia Univ, Sch Mech Engn, Yinchuan, Peoples R China
基金
中国国家自然科学基金;
关键词
Electrical impedance tomography; Hardware design; Biological tissue; Machine learning; REAL-TIME; CURRENT DRIVER; EIT SYSTEM; HIGH-SPEED; RECONSTRUCTION; ARCHITECTURE; CALIBRATION; POWER;
D O I
10.1016/j.heliyon.2023.e15195
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Electrical impedance tomography (EIT) has been used by researchers across several areas because of its low-cost and no-radiation properties. Researchers use complex conductivity in bio-impedance experiments to evaluate changes in various indicators within the image target. The diverse volumes and edges of biological tissues and the large impedance range impose dedicated demands on hardware design. The EIT hardware with a high signal-to-noise ratio (SNR), fast scanning and suitable for the impedance range of the image target is a fundamental foundation that EIT research needs to be equipped with. Understanding the characteristics of this technique and state-of-the-art design will accelerate the development of the robust system and provide a guidance for the superior performance of next-generation EIT. This review explores the hardware strategies for EIT proposed in the literature.
引用
收藏
页数:18
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