Electrical Impedance Cardiography Using Artificial Neural Networks

10.1114/1.47 ◽  
1998 ◽  
Vol 26 (4) ◽  
pp. 577-583 ◽  
Author(s):  
Ajitkumar P. Mulavara ◽  
William D. Timmons ◽  
Meera S. Nair ◽  
Vineet Gupta ◽  
Amaresh A. R. Kumar ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Electrical Impedance ◽  
Impedance Cardiography ◽  
Artificial Neural ◽  
Electrical Impedance Cardiography

Estimation of echocardiogram parameters with the aid of impedance cardiography and artificial neural networks

2019 ◽  
Vol 96 ◽  
pp. 45-58 ◽  
Author(s):  
Sudipta Ghosh ◽  
Bhabani Prasad Chattopadhyay ◽  
Ram Mohan Roy ◽  
Jayanta Mukherjee ◽  
Manjunatha Mahadevappa
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Impedance Cardiography ◽  
Artificial Neural

scholarly journals USING NEURAL NETWORKS AND DEEP LEARNING ALGORITHMS IN ELECTRICAL IMPEDANCE TOMOGRAPHY

2017 ◽  
Vol 7 (3) ◽  
pp. 99-102 ◽  
Author(s):  
Grzegorz Kłosowski ◽  
Tomasz Rymarczyk
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Deep Learning ◽  
Electrical Impedance Tomography ◽  
Electrical Impedance ◽  
Learning Methods ◽  
Impedance Tomography ◽  
Technical Problems ◽  
Machine Learning Methods ◽  
Artificial Neural

This paper refers to the cases of the use of Artificial Neural Networks and Convolutional Neural Networks in impedance tomography. Machine Learning methods can be used to teach computers different technical problems. The efficient use of conventional artificial neural networks in tomography is possible able to effectively visualize objects. The first step of implementation Deep Learning methods in Electrical Impedance Tomography was performed in this work.

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