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The digital and bio-mechanical analysis of human motion is an attractive research field as it helps one understand and interpret pathologies affecting the body’s articular components. The goal of this project is to develop data analysis and automatic classification methods to differentiate between data from asymptomatic and pathological individuals. The data will be drawn from 3D morpho-functional assessments. Developed methods could eventually be considered for the creation of decision support and pathology diagnosis tools.
Dr. Jacques A. de Guise
Neila Mezghani
Emovi Inc.
Mathematics
Medical devices
École de technologie supérieure
Accelerate
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