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Diagnostic Use of Non-Invasive Intelligent Wearables for Veterinary Healthcare
Wearable non-invasive devices have emerged as useful tools for tracking physiological data from companion animals. By combining this data with machine learning techniques, it is possible to proactively detect disorders and prompt owners to seek medical attention. This research aims to asses the efficacy of this approach by using wearable devices for continuous monitoring and intermittent data collection for remote veterinary healthcare.
Faculty Supervisor:
Vianey Leos Barajas
Student:
Partner:
NerveX Neurotechnologies, Inc.
Discipline:
Engineering
Sector:
Health and Related Sciences & Technology; Biotechnology; Manufacturing and Construction
University:
University of Toronto
Program:
Elevate
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