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Robust electrical impedance tomography for biological application: A mini review.
Li, Yang; Wang, Nan; Fan, Li-Feng; Zhao, Peng-Fei; Li, Jin-Hai; Huang, Lan; Wang, Zhong-Yi.
Afiliação
  • Li Y; College of Information and Electrical Engineering, China Agricultural University, China.
  • Wang N; College of Information and Electrical Engineering, China Agricultural University, China.
  • Fan LF; School of Electronics, Peking University, China.
  • Zhao PF; China Electronics Standardization Institute, China.
  • Li JH; School of Mechanical Engineering, Ningxia University, China.
  • Huang L; College of Information and Electrical Engineering, China Agricultural University, China.
  • Wang ZY; College of Information and Electrical Engineering, China Agricultural University, China.
Heliyon ; 9(4): e15195, 2023 Apr.
Article em En | MEDLINE | ID: mdl-37089335
ABSTRACT
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 bioimpedance 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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article