A Social Welfare Maximization Matching Framework for Supplemental Nurse Staffing

The adequacy of hospital nurse staffing in Canada is essential for the delivery of quality health care to Canadians. In light of permanent nursing staff shortage in most of Canadian hospitals, using of supplemental nurses to bolster permanent nursing staff is widespread. Having suitably qualified staff on duty at the right time is a large […]

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Breath monitoring using optical microresonators

Optical sensors are revolutionizing the physiological measurements important for diagnostic purposes. For instance, we can now use optical methods to measure heart rate, blood oxygen saturation, and even blood pressure. Optical technology, in the form of optical microresonators that can trap light at a microscopic scale, can also be used to measure very small changes […]

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Centre for Operations Excellence Summer Internship Cluster 2013

The COE Summer Internship Cluster consists of seven sub-projects sponsored by six different industry partners. Each sub-project represents an important challenge for its sponsor. These subprojects include understanding predictors of service variation and of return-to-work outcomes within the Physiotherapy program at WorkSafeBC; scheduling at Tree Island Industries; optimization of work flow for a set of […]

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Evaluating the impacts and acceptability of a fresh food prescription program on health, food security, and social connectivity in Guelph, Ontario: A quasi-experimental study

Food security is a serious public health concern in the Guelph region, with prevalence of food insecurity surpassing the provincial and national averages. There is a need for community-based interventions to support individuals and families struggling with food insecurity and related poor nutrition and health. The proposed research aims to evaluate the impacts and acceptability […]

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AI-Powered Wireless Human Activity Recognition for Safety and Health Improvement

Human’s gait, and activity monitoring play important roles in many applications that can have a positive impact on improving the ability of individuals to be as independent, secure, and healthy as possible. Most existing technologies rely on cameras and wearables, while people are not always compliant and need to be wearing them with a battery […]

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Bone Quality and Nutrition Status of Elite Endurance Athletes

Relative Energy Deficiency in Sport (RED-S) is a devastating condition that affects an athlete’s short and long-term health and performance. The objective of this study is to investigate the relationships between bone density, microarchitecture, and strength with RED-S risk factors including inadequate nutrition, amenorrhea and stress fractures in elite endurance athletes. Athletes will be recruited […]

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An end-to-end IoT framework for reliable remote and contactless measurement of biometric data

Veyetals online smartphone-based application that can be downloaded through the Apple Store or the Google Play Store. It uses Remote Photoplethysmography (rPPG) technique to extract Blood Volume Pulse (BVP) signal from a face video captured using smart phone camera, and then applies multiple computational algorithms to measure heart rate, heart rate variability, oxygen saturation, and […]

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Efficacy of end-to-end digitizited eye movement therapy for trauma desensitization, on Savyn’s app for treating PTSD symptoms

One of ten Canadians will experience trauma at least once in their lives and will develop post-traumatic stress disorder (PTSD). Many people cannot access PTSD care because of the high cost, long-waiting time, stigma and other barriers etc. Amygdala (deep brain) is important to traumatic emotions and memories. One way to access these memories is […]

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Interpretability of machine learning models that predict cognitive impairment from human speech and language

Machine learning has great potential in detecting cognitive, mental and functional health disorders from speech, as acoustic properties of speech and corresponding patterns in language are modified by a variety of health-related effects. Specifically, neural language models, have recently demonstrated impressive abilities in tasks involving linguistic knowledge. Their success in language understanding and classification tasks […]

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