Engineering Commons^™

Machine Learning Based Model For The Detection Of Brain Aneurysms From Mr Angiography, Katherine Becknell, Claire Bushnell, Rachel Fitzsimmons, Emily Sumner

Interdisciplinary Design Senior Theses

A brain aneurysm is a thin or weak spot on a blood vessel wall that expands and fills with blood. Brain aneurysms are very dangerous due to the fact that in most cases, patients do not show any symptoms. Because of this, aneurysms are difficult to diagnose unless it becomes very large or ruptures, resulting in fatal hemorrhage.

Aneurysms can be detected by a number of different brain imaging methods including Magnetic Resonance Imaging (MRI), Magnetic Resonance Angiography (MRA), Computed Tomography Angiography (CTA) and other imaging methods but for the sake of this report we will only be focusing on …

Classifying Brainwaves For Brain-Computer Interface Technology, Derrick Wang, Brendan Lawler

Bioengineering Senior Theses

The intention of this project is to develop a brainwave classification system that will help restore the independence of those with severe motor function impairments. While current brain computer interface (BCI) technology offers a means of control for those with limited mobility, severely motor disabled individuals represent a population in need of methods to restore independent motor control. Thus, the objective of our project is to utilize neural signals from electroencephalogram (EEG) recordings to develop a machine learning classifier. Since our specific goal is to help those with limited mobility, we are focusing on motion imagery tasks which elicit a …