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Brain haemorrhage detection using a SVM classifier with electrical impedance tomography measurement frames
(Public Library of Science, 2018-07-12)
Brain haemorrhages often require urgent treatment with a consequent need for quick and accurate diagnosis. Therefore, in this study, we investigate Support Vector Machine (SVM) classifiers for detecting brain haemorrhages ...
Classification applied to brain haemorrhage detection: Initial phantom studies using electrical impedance measurements
(EIT2018, 2018-06-11)
Machine learning and classification algorithms are applied to data collected from an EIT system. The system is used with an anatomically accurate head phantom setup in a variety of situations modelling normal and haemorrhagic ...
Supervised learning classifiers for electrical impedance-based bladder state detection
(Nature Publishing Group, 2018-03-29)
Urinary Incontinence affects over 200 million people worldwide, severely impacting the quality of life of individuals. Bladder state detection technology has the potential to improve the lives of people with urinary ...
Image-based classification of bladder state using electrical impedance tomography
(IOP Publishing, 2018-12-03)
Objective: In this study, we examine the potential of using machine learning classification to determine the bladder state ( not full , full ) with electrical impedance tomography (EIT) images of the pelvic region. Accurate ...