scholarly journals Brain Haemorrhage Detection Through SVM Classification of Electrical Impedance Tomography Measurements

2019 ◽  
pp. 211-244 ◽  
Author(s):  
Barry McDermott ◽  
Eoghan Dunne ◽  
Martin O’Halloran ◽  
Emily Porter ◽  
Adam Santorelli
Keyword(s):  
Electrical Impedance Tomography ◽  
Electrical Impedance ◽  
Impedance Tomography ◽  
Svm Classification ◽  
Brain Haemorrhage

Image-based classification of bladder state using electrical impedance tomography

2018 ◽  
Vol 39 (12) ◽  
pp. 124001 ◽  
Author(s):  
Eoghan Dunne ◽  
Adam Santorelli ◽  
Brian McGinley ◽  
Geraldine Leader ◽  
Martin O’Halloran ◽  
...  
Keyword(s):  
Electrical Impedance Tomography ◽  
Electrical Impedance ◽  
Impedance Tomography

scholarly journals Neural networks for classification of strokes in electrical impedance tomography on a 3D head model

2022 ◽  
Vol 4 (4) ◽  
pp. 1-22
Author(s):  
Valentina Candiani ◽  
◽  
Matteo Santacesaria ◽  
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Electrical Impedance Tomography ◽  
Electrical Impedance ◽  
Network Architectures ◽  
Impedance Tomography ◽  
Average Accuracy ◽  
Neural Network Architectures ◽  
Fully Connected

<abstract><p>We consider the problem of the detection of brain hemorrhages from three-dimensional (3D) electrical impedance tomography (EIT) measurements. This is a condition requiring urgent treatment for which EIT might provide a portable and quick diagnosis. We employ two neural network architectures - a fully connected and a convolutional one - for the classification of hemorrhagic and ischemic strokes. The networks are trained on a dataset with $ 40\, 000 $ samples of synthetic electrode measurements generated with the complete electrode model on realistic heads with a 3-layer structure. We consider changes in head anatomy and layers, electrode position, measurement noise and conductivity values. We then test the networks on several datasets of unseen EIT data, with more complex stroke modeling (different shapes and volumes), higher levels of noise and different amounts of electrode misplacement. On most test datasets we achieve $ \geq 90\% $ average accuracy with fully connected neural networks, while the convolutional ones display an average accuracy $ \geq 80\% $. Despite the use of simple neural network architectures, the results obtained are very promising and motivate the applications of EIT-based classification methods on real phantoms and ultimately on human patients.</p></abstract>

scholarly journals Classification of Electrical Impedance Tomography Data Using Machine Learning

2021 ◽  
Author(s):  
Diogo Pessoa ◽  
Bruno Machado Rocha ◽  
Grigorios-Aris Cheimariotis ◽  
Kostas Haris ◽  
Claas Strodthoff ◽  
...  
Keyword(s):  
Machine Learning ◽  
Electrical Impedance Tomography ◽  
Electrical Impedance ◽  
Impedance Tomography ◽  
Tomography Data ◽  
Electrical Impedance Tomography Data

Data-driven classification of ventilated lung tissues using electrical impedance tomography

2011 ◽  
Vol 32 (7) ◽  
pp. 903-915 ◽  
Author(s):  
Camille Gómez-Laberge ◽  
Matthew J Hogan ◽  
Gunnar Elke ◽  
Norbert Weiler ◽  
Inéz Frerichs ◽  
...  
Keyword(s):  
Electrical Impedance Tomography ◽  
Electrical Impedance ◽  
Data Driven ◽  
Impedance Tomography

Parametric Detection and Classification of Compact Conductivity Contrasts With Electrical Impedance Tomography

2017 ◽  
Vol 66 (10) ◽  
pp. 2666-2679 ◽  
Author(s):  
Andrea Samore ◽  
Marco Guermandi ◽  
Silvio Placati ◽  
Roberto Guerrieri
Keyword(s):  
Electrical Impedance Tomography ◽  
Electrical Impedance ◽  
Impedance Tomography

scholarly journals Classification of stroke using neural networks in electrical impedance tomography

2020 ◽  
Vol 36 (11) ◽  
pp. 115008
Author(s):  
J P Agnelli ◽  
A Çöl ◽  
M Lassas ◽  
R Murthy ◽  
M Santacesaria ◽  
...  
Keyword(s):  
Neural Networks ◽  
Electrical Impedance Tomography ◽  
Electrical Impedance ◽  
Impedance Tomography

CALIBRATION OF A LOW COST ELECTRICAL IMPEDANCE TOMOGRAPHY SYSTEM WITH A RING OF RESISTORS AND A KCL SOLUTION

2019 ◽  
Author(s):  
Bruno Furtado de Moura ◽  
francisco sepulveda ◽  
Jorge Luis Jorge Acevedo ◽  
Wellington Betencurte da Silva ◽  
Rogerio Ramos ◽  
...  
Keyword(s):  
Electrical Impedance Tomography ◽  
Electrical Impedance ◽  
Low Cost ◽  
Impedance Tomography ◽  
Tomography System
Sign in / Sign up

Export Citation Format

Share Document