Your browser doesn't support javascript.
loading
A low-cost, portable 32-channel EIT system with four rings based on AFE4300 for body composition analysis.
Escobar Fernández, Joel; Martínez López, Cristian; Mosquera Leyton, Víctor.
Afiliação
  • Escobar Fernández J; Universidad del Cauca, Street 5 No 4-70, Popayán, Colombia.
  • Martínez López C; Universidad del Cauca, Street 5 No 4-70, Popayán, Colombia.
  • Mosquera Leyton V; Universidad del Cauca, Electronic, Instrumentation, and Control Department, Street 5 No 4-70, Popayán, Colombia.
HardwareX ; 16: e00494, 2023 Dec.
Article em En | MEDLINE | ID: mdl-38186666
ABSTRACT
A proposed low-cost, portable, 32-channel (4 rings of 8-channel) Electrical Impedance Tomography (EIT) system based on the AFE4300 analog front-end for body composition measurement. Each ring allows obtaining the conductivity distribution of 4 cross sections, 4 cm apart; to analyze the behavior of conductivity in a volume. The switching of the 4 rings and the current injection and voltage measurement patterns are done with three Texas Instruments 74HC4067 multiplexers, which are managed by an ESP32 board. The proposed system has an average signal-to-noise ratio of 74.71 dB and a frame rate of 50 fps. The sensitivity tests to impedance and volume changes consisted of introducing 4 tubes of different diameters (2 steel and 2 polyvinyl chloride) into a tank with saline solution; then conductivity distribution images were generated in 4 cross-sections of the tank, using the algorithms Gauss-Newton and Noser. Finally, the global impedance index (GI) is calculated to estimate the volume of each tube inside the tank. The results show that the proposed system is highly sensitive to impedance and volume changes, being a promising system for monitoring tissues, and fluids biological.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation Idioma: En Ano de publicação: 2023 Tipo de documento: Article