Independent Living Technologies
Digital Health Hub
Point of Care Health Technologies
Independent Living Technologies Nodes
Project Leads: Dr. Martin Ester and Dr. Sylvain Moreno
Position: Professors
Department (s): Computer Science, SIAT
Institution: Simon Fraser University
Project Title
Development of effective computing algorithms for automation of CT-based haemorrhage assessments in haemorrhage stroke
Research Summary
Stroke refers to a sudden loss of brain function, due to ischemia or haemorrhage in the brain, and is associated with dramatic mortality and morbidity rates and tremendous healthcare costs. Computed tomography (CT) is the primary neuroimaging technology for the initial workup of an acute stroke. Algorithms for automated CT computation that can allow for input from data and expert are in demand. Few studies have compared the performance of the algorithms, and less is known about the validation of the calculations in relation to stroke outcomes and intervention decisions.
The present study will develop effective CS algorithm to achieve automation of hemorrhage assessment with the application of existing patient CT scans at Fraser Health. The project aims to create an automated measurement tool for brain hematoma (e.g., volume, location, progression) in acute intracerebral hemorrhagic stroke. Our dynamic research team consisted of key clinicians in neurology and neuroradiology, as well as experts in neuroimaging, cognitive neuroscience, and computing science. The integration of the research expertise and the available imaging data with outcome measures is fundamental for the success of the proposed project to address the research with clear clinical significance. It is anticipated that the proposed research project can potentially contribute to the advancement of effective clinical translation of neuroimaging technology, which can benefit more efficient diagnosis, leading to improved intervention outcomes in stroke patient care.
STAR (Science and Technology for Aging Research) Institute/AWIH (AGE-WELL Innovation Hub)
Point of Care Health Technologies
Independent Living Technologies Node
Project Lead: Dr. Andrew Sixsmith
Position: Professor
Department (s): Gerontology
Institution: Simon Fraser University
Project Title
Environmental scans for technology opportunities to improve independent living
Research Summary
This research will involve identifying opportunities in which technology can have impact in meeting the needs of seniors and the “Silver Market”. Central to this is developing research approaches that are truly responsive to our society and economy so that they are user-oriented and “opportunity-driven” rather than “technology-pushed”. This means that ILT will encompass a wider scope than the typical medical technology agenda, spanning health, well-being, independence, social participation, and prevention. To be innovative about how we develop this kind of strategic visioning, we will use approaches that are more interactive with a broad range of stakeholders.
We will also develop an agile catalyst method that will enable research to be more effective, efficient, and responsive to both user and market needs. ILT will take into account the key markets for the aging and technology sector: long-term care facilities or nursing homes, a $23 billion market; home care systems, worth over $12 billion in 2015; and direct-to-consumer health technology (e.g., wearable), increasing to $53.2 billion worldwide by 2019. We will work with SFU-based researchers and BC stakeholders to continuously explore, identify and drive opportunities for new research in the area of technology and aging. This strategic research approach aims at increasing the success of academic researchers and their community, government, and industrial partners in positively impacting the health and quality of life of Canada’s seniors.