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Brain haemorrhage detection through SVM classification of impedance measurements
(NUI Galway, 2018-07-17)
Machine Learning is becoming increasingly important in interpreting biological signals. In this work, we examine the potential for classification in brain haemorrhage detection. Numerical head and brain models with and ...
Multi-frequency symmetry difference electrical impedance tomography with machine learning for human stroke diagnosis
(IOP Publishing, 2020-06-18)
Objective: Multi-Frequency Symmetry Difference Electrical Impedance Tomography (MFSD-EIT) can robustly detect and identify unilateral perturbations in symmetric scenes. Here, an investigation is performed to assess if the ...
Brain haemorrhage detection through SVM classification of electrical impedance tomography measurements
(Springer, Cham, 2019-08-28)
A brain haemorrhage constitutes a serious medical scenario with a need for rapid, accurate detection to facilitate treatment initiation. Machine learning (ML) techniques applied to such medical diagnostic problems can ...
Detailed dielectric characterisation of the heart and great vessels
(IEEE, 2020-03-15)
The dielectric properties of biological tissues play a significant role in the planning and development of electro- magnetic thermal therapies. In most cases in the literature, heart is considered as a homogeneous organ ...