Fundamentals, recent advances, and future challenges in bioimpedance devices for healthcare applications
D Naranjo-Hernández, J Reina-Tosina… - Journal of …, 2019 - Wiley Online Library
This work develops a thorough review of bioimpedance systems for healthcare applications.
The basis and fundamentals of bioimpedance measurements are described covering issues …
The basis and fundamentals of bioimpedance measurements are described covering issues …
The Accuracy of Electrical Impedance Tomography for Breast Cancer Detection: A Systematic Review and Meta‐Analysis
Z Rezanejad Gatabi, M Mirhoseini… - The Breast …, 2022 - Wiley Online Library
Introduction. Incidence of breast cancer (BC) in 2020 is about 2.26 million new cases. It is
the first common cancer accounting for 11.7% of all cancer worldwide. Disease …
the first common cancer accounting for 11.7% of all cancer worldwide. Disease …
[HTML][HTML] A non-destructive system based on electrical tomography and machine learning to analyze the moisture of buildings
This article presents the results of research on a new method of spatial analysis of walls and
buildings moisture. Due to the fact that destructive methods are not suitable for historical …
buildings moisture. Due to the fact that destructive methods are not suitable for historical …
Deep autoencoder imaging method for electrical impedance tomography
Electrical impedance tomography (EIT) is an effective technique for real-time monitoring,
visualization, and analysis of industrial process in a noninvasive manner. However, due to …
visualization, and analysis of industrial process in a noninvasive manner. However, due to …
[HTML][HTML] Development of a portable, reliable and low-cost electrical impedance tomography system using an embedded system
F Zamora-Arellano, OR López-Bonilla… - Electronics, 2020 - mdpi.com
Electrical impedance tomography (EIT) is a useful procedure with applications in industry
and medicine, particularly in the lungs and brain area. In this paper, the development of a …
and medicine, particularly in the lungs and brain area. In this paper, the development of a …
[HTML][HTML] Using machine learning in electrical tomography for building energy efficiency through moisture detection
Wet foundations and walls of buildings significantly increase the energy consumption of
buildings, and the drying of walls is one of the priority activities as part of thermal …
buildings, and the drying of walls is one of the priority activities as part of thermal …
Developing and evaluation of an electrical impedance tomography system for measuring solid volumetric concentration in dredging scale
N Tarabi, H Mousazadeh, A Jafari… - Flow Measurement and …, 2021 - Elsevier
In this study, an electrical impedance tomography (EIT) system was developed for
measuring of sediments flow properties in dredging pipes. Considering relatively large …
measuring of sediments flow properties in dredging pipes. Considering relatively large …
Images super-resolution by optimal deep AlexNet architecture for medical application: a novel DOCALN
S Sengan, L Arokia Jesu Prabhu… - Journal of Intelligent …, 2020 - content.iospress.com
In the last decade, numerous researches have been focused on Image Super-Resolution
(SR); this recreation or improvement model is vital in different research areas. Recently …
(SR); this recreation or improvement model is vital in different research areas. Recently …
Experimental evaluation of some current injection-voltage reading patterns in electrical impedance tomography (EIT) and comparison to simulation results-case study …
N Tarabi, H Mousazadeh, A Jafari… - Flow Measurement and …, 2022 - Elsevier
Each electrical impedance tomography system to be prosper, usually would had its own
current injection and voltage reading patterns within domains under test. So in different …
current injection and voltage reading patterns within domains under test. So in different …
[HTML][HTML] Analysis of Reconstruction Energy Efficiency in EIT and ECT 3D Tomography Based on Elastic Net
The main goal of this paper is to research and analyze the problem of image reconstruction
performance using machine learning methods in 3D electrical capacitance tomography …
performance using machine learning methods in 3D electrical capacitance tomography …