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University of Arkansas, Fayetteville
Computer Science and Computer Engineering Undergraduate Honors Theses
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Full-Text Articles in Medicine and Health Sciences
Using Deep Learning To Analyze Materials In Medical Images, Carson Molder
Using Deep Learning To Analyze Materials In Medical Images, Carson Molder
Computer Science and Computer Engineering Undergraduate Honors Theses
Modern deep learning architectures have become increasingly popular in medicine, especially for analyzing medical images. In some medical applications, deep learning image analysis models have been more accurate at predicting medical conditions than experts. Deep learning has also been effective for material analysis on photographs. We aim to leverage deep learning to perform material analysis on medical images. Because material datasets for medicine are scarce, we first introduce a texture dataset generation algorithm that automatically samples desired textures from annotated or unannotated medical images. Second, we use a novel Siamese neural network called D-CNN to predict patch similarity and build …
A Capacitive Sensing Gym Mat For Exercise Classification & Tracking, Adam Goertz
A Capacitive Sensing Gym Mat For Exercise Classification & Tracking, Adam Goertz
Computer Science and Computer Engineering Undergraduate Honors Theses
Effective monitoring of adherence to at-home exercise programs as prescribed by physiotherapy protocols is essential to promoting effective rehabilitation and therapeutic interventions. Currently physical therapists and other health professionals have no reliable means of tracking patients' progress in or adherence to a prescribed regimen. This project aims to develop a low-cost, privacy-conserving means of monitoring at-home exercise activity using a gym mat equipped with an array of capacitive sensors. The ability of the mat to classify different types of exercises was evaluated using several machine learning models trained on an existing dataset of physiotherapy exercises.
Algorithms And A Software Application For The Discovery Of Heparin-Binding Proteins For Chemical Analysis, Christopher Dempewolf
Algorithms And A Software Application For The Discovery Of Heparin-Binding Proteins For Chemical Analysis, Christopher Dempewolf
Computer Science and Computer Engineering Undergraduate Honors Theses
Heparin is a biological molecule that plays a vital role in anticoagulation. As such, it is used for the prevention of blood clotting in a variety of medical disorders. However, it is easily contaminated with foreign substances, and this can prove fatal for a person receiving heparin. In order to prevent this, proteins that easily bind to heparin need to be added to the solution. Then, the unwanted substances can easily be filtered out. Certain sequences or patterns of amino acids are known to have a high probability of binding to heparin. Thus, proteins that contain large numbers of these …
A Modular Framework For Home Healthcare Monitoring, Blake Puryear
A Modular Framework For Home Healthcare Monitoring, Blake Puryear
Computer Science and Computer Engineering Undergraduate Honors Theses
Many patients with chronic health problems have multiple ailments but different patients may have different such ailments. Home monitoring systems for individual ailments exist but a patient may have multiple of these, all designed independently. There are no standard architectures so this leads to unmanageable diversity which causes problems for patients in having to learn to use a variety of monitors and for physicians in trying to monitor many patients. The purpose of this project was to design and prototype a next generation modular remote healthcare monitoring system capable of monitoring multiple ailments and extensible to new ailments in order …