Development of gait detection algorithms for individuals with multiple sclerosis

Multiple sclerosis is a lifelong disease that affects the nerves of the body and causes lifelong disabilities including walking disabilities. This project aims to use smart insoles to provide clinicians with information about how patients impacted by multiple sclerosis walk. To do so, we will develop and test algorithms that use walking data from the insoles to extract meaningful information. The walking data will then be used to create personalized models using artificial intelligence to describe and study how people with multiple sclerosis walk. As a final product, objective information will be provided to clinicians to track the personalized progression of the disease in their patients to have a more targeted treatment.

Faculty Supervisor:

Ryan Graham

Student:

Partner:

Wesley Clover;Ottawa Hospital Research Institute

Discipline:

Physics

Sector:

Finance and Insurance; Management of companies and enterprises

University:

University of Ottawa

Program: