Detection and Removal of EEG Chewing and Ambulation Artifacts for the Purpose of Increasing Robustness of Seizure Detection

The aim of the internship is for the intern to take up the challenge of detecting and removing noise from brain signals that are recorded using electroencephalogram (EEG). The noise that is of interest in the project is mainly caused by the subject chewing and walking. These noises are found to have caused the inability to have a high accuracy in performing seizure detection using EEG. Machine learning-based approaches are to be taken in the attempt to characterize these noises and subsequently eliminate it from the recorded brain signal.

Testing nutrient profiling tools and portion size based initiatives (education, regulation and reformulation) for public health policy in Canada

Poor diet is one of the factors associated with obesity and overweight, which may increase the risk for chronic diseases such as diabetes, heart disease and cancer. Two ways to improve the diets at the population level are to 1) establish public health initiatives (e.g.

Optical Tissue Imaging DICOM/PACS Integration

The aim of this project is to research and develop a new DICOM modality for the optical coherence tomography images obtained by Perimeter’s Optical Tissue Imaging (OTISTM) device. Following the creation of a suitable modality, a novel solution for transfer to and integration with the PACS servers utilized by current Perimeter customers will also be developed. The device currently allows for local storage and review of obtained data, with images only ever transferred onto different servers by Perimeter staff.

Kitchener Bioretention Planters Evaluation

Low impact development (LID) technologies are increasingly part of the urban landscape for Canadian municipalities. Bioretention planters, also known as rain gardens, are an LID technology that infiltrates and filters runoff at the source. Though design guidance exists, there is little data available on the long term performance of LID technologies, such as bioretention systems. This study aims to contribute to the literature of field studies on the long term performance of bioretention systems, in terms of the hydrologic performance and maintenance needs.

Real Time Inverse Scattering for Optical Coherence Tomography - Year two

A critical challenge today in neuro-surgery is the determination of tumor boundaries intraoperatively. There are means of doing this using high-resolution MRI machines, however, these can be prohibitively costly. Optical coherence tomography (OCT) offers a promising, cheaper, label-free alternative. However, the basic models used for clinical, real-time OCT limit its usefulness and depth of focus. This work will develop a type of image reconstruction that includes digital focusing and anisotropic properties.

Assessment of the Neonatal Lung Using Structural and Functional MRI

Currently available diagnostic imaging tools, such as chest radiography and computed tomography, are inadequate for assessing the lungs of preterm neonates. There is considerable interest in using magnetic resonance imaging (MRI) to monitor lung development in neonates longitudinally, since it is a non-invasive and non-ionizing imaging modality. MRI can potentially detect complications at an early stage and improve outcomes by monitoring the effectiveness of therapy, however, images typically suffer from poor signal and organ motion.

Autonomous Sensor System for Monitoring Torque from the Flexplate - Year two

While torque is an important parameter in automotive performance, there are currently very few effective methods to monitor it in vehicles. The aim of this project is to develop a low-cost solution for real time engine torque monitoring. An autonomous sensor module will be developed and mounted to the flexplate connecting the engine and the transmission system in vehicles with wasted vibration energy in the flexplates being harnessed to power the sensor module.

Approximations of Exotic Option Pricing Models

In order to properly manage the risks associated with trading complex financial products, CIBC carries out computationally expensive calculations to properly assess their exposure to various market factors. To make these computations more feasible, it is of interest to find new, efficient and approximate mathematical formulas to compute such exposures. It is also important to complement these new formulas with rigorous justification of the resulting approximation error. Such justification will provide confidence to practitioners at CIBC who will use these formulas in the future.

Development & Pilot Evaluation of an Online Peer Support Program for Family Caregivers of Ventilator-Assisted Individuals Living in the Community

Ventilator assisted individuals (VAIs) living at home are frail and generally cannot perform most daily activities. This is similarly the case for the palliative population of those with amyotrophic lateral sclerosis (ALS). Although these individuals prefer to live and die at home, the family members who care for them often experience stress and poor health. Peer support can mitigate health declines by decreasing caregivers’ isolation/stress and increasing their sense of control. However, no peer support programs are designed to meet these caregivers’ complex and unique needs.

Development of a microfluidic blood-brain barrier model for drug screening and testing

"Poor efficacy and unpredictable toxic effects are leading causes of removal of a drug from the market. Many drugs act unpredictably in patients because they are tested in labs using cells grown in plastic dishes and animals that poorly mimic humans.

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