Glucose monitoring has improved significantly over the last few years. Devices have become smaller, and today wireless wearable devices offer a seamless solution for people who require to monitor their glucose level multiple times daily. However, wearable devices are not always well accepted by people. Furthermore, monitoring solutions that are completely autonomous face acceptability issues […]

Bandages have been used to provide compression therapy to manage chronic venous disorders such as leg ulcers and other muscle related orthopedic issues. They have several major problems such as pressure loss over time, no external pressure control, and no massage benefit which make inefficient treatment. There is an imperious need of any innovation which […]

EMBED (Enhanced Measurement-Based Care Effectiveness for Depression) is a multistage collaboration between mental health researchers and advocates based in Canada, China, USA, and Australia. Jointly funded by the Canadian Institutes of Health Research and the National Natural Science Foundation of China, this 5-year program is the first major research initiative of the APEC Digital Hub […]

EMBED (Enhanced Measurement-Based Care Effectiveness for Depression) is a multistage collaboration between mental health researchers and advocates based in Canada, China, USA, and Australia. Jointly funded by the Canadian Institutes of Health Research and the National Natural Science Foundation of China, this 5-year program is the first major research initiative of the APEC Digital Hub […]

Medtronic is a global medical device company and leader in patient monitoring technologies that has a key area of interest for developing technology to effectively monitor patients’ cerebral blood flow (i.e., perfusion) in relation to systemic blood pressure. Maintaining a prescribed intra-operative blood pressure range for patients does not guarantee a healthy cerebral blood flow, […]

Bandages have been used to provide compression therapy to manage chronic venous disorders such as leg ulcers and other muscle related orthopedic issues. They have several major problems such as pressure loss over time, no external pressure control, and no massage benefit which make inefficient treatment. There is an imperious need of any innovation which […]

Osteoarthritis is an extremely common, extremely costly disease that will become more prevalent as the population ages. Treatment delivered in primary care settings does not always reflect ‘best practice’ care for the disease. In particular, non-surgical and non-drug interventions such as exercise, weight loss and education regarding self management are underutilized. One reason that clinicians […]

Computational thinking is a term emerged in recent years and it is used in education to describe the thought process of formulating and solving a problem like a computer. It is considered a fundamental skill, and is usually used in STEM, science, engineering, and social science and humanities; however, there is little literature on how […]

This project focuses on the energy consumption of modern virtual reality applications. The target devices are virtual-reality-glasses that can be worn on the head and that simulate a virtual 3D environment to users. Most modern devices are still rather heavy, uncomfortable to wear, and attached to a powerline such that the user experience can still […]

In order to design and operate more efficient urban transport infrastructure networks along the Cascadia Corridor, improved spatial and temporal data is required to understand travel activity patterns. The integration and comparative analysis of new data sources including: electronic transit ticketing (Vancouver Compass Card, Seattle Orca Card), geospatially tagged social media, smartphone travel diaries, and […]

The goal of this proposal is to make the most advantage of the recently developed technique of Frequency domain Optical Parametric Amplification (FOPA) by pushing this technology to unprecedented levels. The IP has been protected by the group of prof. François Légaré from INRS-EMT. The main inventor, Bruno Schmidt, has founded few-cycle Inc. to commercialize […]

Machine learning (ML) applications have shown remarkable performance in vanous intelligent tasks but high computational intensity and large memory requirements have hindered its widespread ubhzation in embedded and Internet of things devices due to resource constraints. Many optimization techniques have been proposed previously for domain specific architectures. These optimizations will affect an embedded device differently. […]