Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Machine Learning (3)
- Artifact Detection (1)
- Asymmetry (1)
- Biomechanics (1)
- Bra Design (1)
-
- Breast Cancer (1)
- COPD Staging System (1)
- Chronic Obstructive Pulmonary Disease (1)
- Data Preprocessing (1)
- Deep Learning (1)
- Epilepsy (1)
- Finite Element Analysis (1)
- Finite Element Modelling (1)
- Functional Electrical Stimulation (1)
- Intracranial Electroencephalography (iEEG) (1)
- Lung Air Map (1)
- Lung CT (1)
- Lung CT Image Augmentation (1)
- Oncology (1)
- Parkinson's disease (1)
- Prostate Cancer (1)
- Signal Processing. (1)
- Tissue Mimicking Phantom (1)
- Trans Rectal Ultrasound (1)
- Transfer Learning (1)
- Tremor Suppression (1)
- Ultrasound Elastography (1)
Articles 1 - 5 of 5
Full-Text Articles in Engineering
Prostate Tissue Motion Tracking And Ultrasound Elastography Using Tissue Mechanics Derived Constraints, Tristan S. Curry
Prostate Tissue Motion Tracking And Ultrasound Elastography Using Tissue Mechanics Derived Constraints, Tristan S. Curry
Electronic Thesis and Dissertation Repository
Current prostate cancer detection methods can be costly to obtain, such as magnetic resonance imaging, or lack specificity, such as a digital rectal exam. Ultrasound elastography, a method that can be used to develop and test algorithms that output stiffness, strain, and displacement data captured by ultrasound radio frequency readings, offers a potential solution to these challenges. An initial algorithm utilizing dynamic programming and analytic minimization estimates the radial and angular displacements from a pre- and post-compression data set to determine the required material properties. This estimate of displacements is then refined through an algorithm where incompressibility, Laplacian smoothing, and …
Towards The Development Of Wearable Tremor Suppression Systems Combining Functional Electrical Stimulation And Mechanical Actuation, Zahra Habibollahi
Towards The Development Of Wearable Tremor Suppression Systems Combining Functional Electrical Stimulation And Mechanical Actuation, Zahra Habibollahi
Electronic Thesis and Dissertation Repository
Parkinson's disease (PD), the second most prevalent neurological disorder, is characterized by motor and non-motor symptoms including tremor. Wearable tremor suppression devices (WTSDs), have shown promising results for tremor reduction, using functional electrical stimulation (FES) or active actuators. However, results and study procedures are not consistent in the literature. Although stimulations below and above motor threshold can suppress tremor, the mechanisms of the first is still not clear, and the second might lead to muscle fatigue and discomfort over time. While active actuators have shown better results for tremor suppression, they are often heavy and bulky for daily use. Lastly, …
Data Preprocessing And Machine Learning For Intracranial Electroencephalography, Mauricio Cespedes Tenorio
Data Preprocessing And Machine Learning For Intracranial Electroencephalography, Mauricio Cespedes Tenorio
Electronic Thesis and Dissertation Repository
This thesis serves to address the problem of non-standardized preprocessing of intracranial electroencephalography (iEEG) recordings by implementing a software workflow that compiles some of the most common steps followed for the preparation of this type of data. This workflow improves the consistency, replicability, and ease of use of iEEG preprocessing, facilitating the replication and extension of previous studies and the combination of separately preprocessed inter-institutional datasets. Automatic detection of artifacts for iEEG data was also explored as a potential step to include in the preprocessing workflow. Despite training the models with cross-institutional data, poor performance was observed when tested on …
Breast Cancer Risk In Women With Breast Bilateral Asymmetry: Machine Learning Based Risk Analysis And Mitigation Through Developing A Framework For Customized Bra Design, Xi Feng
Electronic Thesis and Dissertation Repository
Breast cancer is the most prevalent form of cancer globally, accounting for 12.5% of all new cases annually. Research has found a significant correlation between breast bilateral asymmetry and an increased risk of cancer, with women diagnosed with breast cancer having higher levels of bilateral asymmetrical breast volume. Unfortunately, 87% of women with breast asymmetry lack adequate tools for assessing their cancer risk. Early screening using bilateral asymmetry to predict a woman's long-term risk of breast cancer can help physicians make informed decisions about whether to recommend sequential imaging and the frequency of screening. Another important factor in understanding the …
Machine Learning Classifiers For Chronic Obstructive Pulmonary Disease Assessment Using Lung Ct Data., Halimah Alsurayhi
Machine Learning Classifiers For Chronic Obstructive Pulmonary Disease Assessment Using Lung Ct Data., Halimah Alsurayhi
Electronic Thesis and Dissertation Repository
Chronic Obstructive Pulmonary Disease (COPD) is a condition characterized by persistent inflammation and airflow blockages in the lungs, contributing to a significant number of deaths globally each year. To guide tailored treatment strategies and mitigate future risks, the Global Initiative for Chronic Obstructive Lung Disease (GOLD) employs a multifaceted assessment system of COPD severity, considering patient's lung function, symptoms, and exacerbation history. COPD staging systems, such as the high-resolution eight-stage COPD system and the GOLD 2023 three staging systems, have been later developed based on these factors. Lung Computed Tomography (CT) is becoming increasingly crucial in investigating COPD as it …