Computational Intelligence Techniques in the Analysis and Recovery of Joint Injuries


23 de outubro, 2020 | 12h00 | Webinar – Plataforma ZOOM

Resumo da apresentação:

Human gait analysis has been studied to recognise disorders caused by neurological, metabolic and traumatic diseases, as well as to assess the efficacy of rehabilitation treatments. The study of human gait has particular importance to provide useful information to the clinical staff, to stablish the rehabilitation processes and to provide faster and more specific treatments.
Gait indices have increasingly been used to objectively analyse the gait quality in order to understand the severity of these disorders, to distinguish between normal and abnormal gait patterns and also to quantify the deviations from the normal pattern in terms of the number of standard deviations. The graphical analysis of these indices allows to identify the less recovered limb and the correspondent stride durations, assisting doctors to better adapt the rehabilitation procedures for each patient.
This methodology can also be used to assess the arthrosis risk, which is a common gait disorder.
The possibility of using objective strategies to assess the quality of the rehabilitation process and to develop strategies to prevent early knee osteoarthritis is an important issue to human life quality.

Manuel M. Crisóstomo is a Researcher at ISR - Institute of Systems and Robotics - and a lecturer at Department of Electrical Engineering - University of Coimbra, teaching 
Quality Control and Maintenance, Industrial Automation and Robotics.
Crisóstomo has received the B.Sc. degree from the University of Coimbra in 1978, the M.Sc. degree from the Technical University of Lisbon in 1987 and, in 1992, the Ph.D. degree from Brunel University, Uxbridge, U.K.


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