Development of an Actigraph System for Sleep-Wake Identification

The main objective of this project is to design a proper algoritlun for analyzing COPD patient's sleep data as an important feature in patients treatment procedure. The data would be gathered by a novel wrist wearable actigraph with high accuracy technology. The wearable wristactigraph will allow more reliable data collection because the subjects can use it in their own home environment and there is no limitation for the length of data collection period. The intern will receive the proper raw data gathered by the actigraph, and focus on the analysis part of the project.

Application of neuroimaging to optimize observational learning from a mobile application: influences of age and brain function

One side effect of stroke is damage to the left parietal lobe, important in motor control of the right hand. Many stroke patients experience loss of motor skills and have difficulty relearning how to perform daily tasks. Recent reports from stroke rehabilitation centres have shown increased improvements in relearning basic motor skills upon incorporation of observational learning techniques into their therapies.

Biomechanical Comparison of Underwater Treadmill Running and Land Treadmill Running

The proposed research project aims to understand and quantify the biomechanical factors of running on an underwater treadmill, as compared to running on a land treadmill. By understanding the vertical ground reactive forces and order of muscle recruitment at various speeds, resistance and levels of buoyancy, practitioners in the field of sports medicine can effectively use the technology to enhance the management of athletic injuries. Fortius Institute, Inc.

Raman Spectroscopy for in vivo Classification of Peripheral Lung Nodules

In Canada the five year survival rate for lung cancer is only at 15%. There is a great need to be able to detect the disease at an earlier stage which would lead to a better prognosis and outcome for the patient. Although many technologies and medical devices have been in use for standard procedure in the last decade, there are few which can detect lung lesions in the deeper portion, the periphery of the lung with reliability. The best option presently is called radial ultrasound, a device which focuses on tissue density but does not illuminate biochemical characteristics.

Light collection optimization with semiconductor photodetectors

Better light collection by photodetectors would automatically improve signal to noise ratio and photodetector performance. For example, for the positron emission tomography application, it would result in a better image quality for a lower dose. The main cause of the light loss is too much reflection of light that is trying to travel from the light source into the semiconductor light sensor.

Tumor Reduction and Enhanced Responsiveness to Radiation Therapy and Chemotherapy Via Selective Removal of Iron: Mechanism and Preclinical Evaluation Year Two

Chelation Partners Inc. has developed a family of new and highly selective iron chelators such as DIBI. In collaboration with Dr. Hoskin, DIBI is being investigated as a novel anti-cancer agent. Preliminary research suggests that DIBI can selectively inhibit the growth and survival of cancer cells and render them more sensitive to radiation therapy. The proposed research builds on previous work to increase our understanding of how the removal of iron by DIBI affects cancer cells and makes them more sensitive to radiation and/or chemotherapy.

Low-power EEG headset for remote monitoring and warning system

Avertus Epilepsy Technologies Inc. is building a wireless headset that records brain waves (EEG) without requiring extensive, time-consuming and uncomfortable patient preparation. Avertus’ headset is a patient-focused, point-of care monitoring and detection system. To design the wireless EEG headset, commercially available dry electrodes will be analyzed and characterized to determine the optimum properties for better EEG recordings. A miniaturized circuit board will be designed for each electrode to make active electrodes that can provide a high quality EEG signal right on the headset.

Prevention of hepatitis C virus (HCV) re-infection after liver transplantation

Over 170 million persons worldwide are chronically infected by hepatitis C virus (HCV), leading to endstage liver disease and cancer. HCV is the single most common indication for liver transplantation in Canada and the rest of the Western world. After transplant, HCV re-infection is universal and is the chief cause of graft loss. Treatment of post-transplant recurrent HCV is more difficult than pretransplant, with lower response rates that partly reflect the effects of immunosuppression.We propose that the ideal management of post-transplant HCV is its prevention.

A wireless headset for power-aware EEG/non-EEG signals processing and seizure warning

Epilepsy is a debilitating neurological disorder affecting approximately 50 million people worldwide (World Health Organization). This project proposes to develop a SMART (Seizure Monitoring At the Right Time) Headset for these patients to monitor their brain signal and track their movements, heart rates and breathing patterns. This headset will have new types of sensors suitable for long term usage and sleep.

Comparative effectiveness, and network meta-analysis of pre-insulin oral hypoglycemic drugs in the treatment of type II diabetes

The proposed project is two-phased. The first phase involves a study that will use specialized research analysis techniques to compare the effectiveness of pharmaceutical drugs used to treat type II diabetes and to identify if a group of drugs are producing similar benefits in terms of controlling the disease. The applicant’s clinical and epidemiological background would bring value to our study design for this and future projects. The second phase involves economic cost modeling that will forecast financial implications of study findings.