Browsing Systems Design Engineering by Title
Now showing items 457-476 of 725
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Motor Unit Characteristics after Targeted Muscle Reinnervation
(Public Library of Science, 2016-02-22)Targeted muscle reinnervation (TMR) is a surgical procedure used to redirect nerves originally controlling muscles of the amputated limb into remaining muscles above the amputation, to treat phantom limb pain and facilitate ... -
Movement-related cortical potentials in paraplegic patients: abnormal patterns and considerations for BCI-rehabilitation
(Frontiers, 2014-08-27)Non-invasive EEG-based Brain-Computer Interfaces (BCI) can be promising for the motor neuro-rehabilitation of paraplegic patients. However, this shall require detailed knowledge of the abnormalities in the EEG signatures ... -
mSLA-based 3D printing of acrylated epoxidized soybean oil - nano-hydroxyapatite composites for bone repair
(Elsevier, 2021-11)Structural bone allografts are used to treat critically sized segmental bone defects (CSBDs) as such defects are too large to heal naturally. Development of biomaterials with competent mechanical properties that can also ... -
Multi-Atlas based Segmentation of Multi-Modal Brain Images
(University of Waterloo, 2016-05-20)Brain image analysis is playing a fundamental role in clinical and population-based epidemiological studies. Several brain disorder studies involve quantitative interpretation of brain scans and particularly require accurate ... -
Multi-Body Vehicle Dynamics Modeling for Drift Analysis
(University of Waterloo, 2013-09-03)One area of vehicle handling performance that has been the focus of an OEM{'}s (Original Equipment Manufacturer) engineering effort is within the realm of vehicle straight-line performance. As the name implies, straight-line ... -
A Multi-class BCI based on Somatosensory Imagery
(Institute of Electrical and Electronics Engineers, 2018-06-18)In this study, we investigated the performance of a multi-class brain-computer interface (BCI). The BCI system is based on the concept of somatosensory attentional orientation (SAO), in which the user shifts and maintains ... -
A multi-class tactile brain-computer interface based on stimulus-induced oscillatory dynamics
(Elsevier, 2017-07-24)We proposed a multi-class tactile brain-computer interface that utilizes stimulus-induced oscillatory dynamics. It was hypothesized that somatosensory attention can modulate tactile induced oscillation changes, which can ... -
Multi-indicator supply chain management framework for food convergent innovation in the dairy business
(Elsevier, 2021)A comprehensive integrated framework of indicators currently used in lean, agile, sustainable and resilient supply chain paradigms is developed under the umbrella of convergent innovation (CI) and applied to the management ... -
Multi-Magnification Search in Digital Pathology
(University of Waterloo, 2021-09-21)This research study investigates the effect of magnification on content-based image search in digital pathology archives and proposes to use multi-magnification image representation. Image search in large archives of digital ... -
Multi-resolution Active Models for Image Segmentation
(University of Waterloo, 2015-09-25)Image segmentation refers to the process of subdividing an image into a set of non-overlapping regions. Image segmentation is a critical and essential step to almost all higher level image processing and pattern recognition ... -
Multi-resolution Image Segmentation using Geometric Active Contours
(University of Waterloo, 2004)Image segmentation is an important step in image processing, with many applications such as pattern recognition, object detection, and medical image analysis. It is a technique that separates objects of interests from ... -
Multi-sensor Fusion for Positioning and Semantic Information Extraction in Indoor Environments
(University of Waterloo, 2023-05-30)This thesis focuses on three significant challenges in multi-sensor data fusion for real-world uses: (1) Lack of multisensory datasets for mapping and positioning datasets in underground environments, (2) inefficient and ... -
A Multi-Stage Graph Model Analysis for the International Toxic Waste Disposal Conflict
(University of Waterloo, 2008-05-25)A generic conflict model is developed to analyze international toxic waste disposal issues, and then, to provide feasible strategic resolutions for this serious environmental dispute. With the rapid growth of the global ... -
A Multiclassifier Approach to Motor Unit Potential Classification for EMG Signal Decomposition
(University of Waterloo, 2006)EMG signal decomposition is the process of resolving a composite EMG signal into its constituent motor unit potential trains (classes) and it can be configured as a classification problem. An EMG signal detected by the ... -
Multimodal Artificial Intelligence for Histopathology & Genomics Fusion
(University of Waterloo, 2024-01-29)The field of medical diagnostics has witnessed a transformative convergence of artificial intelligence (AI) and healthcare data, offering promising avenues for enhancing patient care and disease comprehension. However, ... -
Multimodal photoacoustic remote sensing (PARS) microscopy combined with swept-source optical coherence tomography (SS-OCT) for in-vivo, non-contact, functional and structural ophthalmic imaging applications
(University of Waterloo, 2021-09-30)Ophthalmic imaging has long played an important role in the understanding, diagnosis, and treatment of a wide variety of ocular disorders. Currently, available clinical ophthalmic imaging instruments are primarily ... -
Multiple Agent Architecture for a Multiple Robot System
(University of Waterloo, 2005)Controlling systems with multiple robots is quickly becoming the next large hurdle that must be overcome for groups of robots to successfully function as a team. An agent oriented approach for this problem is presented ... -
Multiple Cooperative Swarms for Data Clustering
(University of Waterloo, 2008-09-24)Exploring a set of unlabeled data to extract the similar clusters, known as data clustering, is an appealing problem in machine learning. In other words, data clustering organizes the underlying data into different ... -
Multiple Criteria Decision Analysis: Classification Problems and Solutions
(University of Waterloo, 2006)Multiple criteria decision analysis (MCDA) techniques are developed to address challenging classification problems arising in engineering management and elsewhere. MCDA consists of a set of principles and tools to assist ... -
A Multiple Instance Learning Approach to Electrophysiological Muscle Classification for Diagnosing Neuromuscular Disorders Using Quantitative EMG
(University of Waterloo, 2018-09-21)Neuromuscular disorder is a broad term that refers to diseases that impair muscle functionality either by affecting any part of the nerve or muscle. Electrodiagnosis of most neuromuscular disorders is based on the ...