Sanaa Fariss
Automatic evaluation of the Nine Hole Peg Test for subjects with neurological pathologies through artificial vision approaches.
Rel. Gabriella Olmo. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2020
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Abstract
According to the World Health Organization, Cardiovascular Diseases are the first cause of death globally and, among these, stroke is the second one. Stroke is a very serious acute pathological condition, responsible for the appearance of numerous neurological deficits caused by insufficient blood supply to an extensive area of the brain. This event causes cognitive and motor deficits that influence the individual's capacity for autonomy and that hinder self-sufficiency, making the person unable to perform daily life tasks in total independence. The degree of disability that derives from it, beyond gravity, makes the rehabilitation treatment necessary. Considering the social and economic impact of stroke, monitoring the progress of outpatients in home-based rehabilitation is paramount, because the risk of re-hospitalization can be reduced.
A frequent traditional home-based assessment of the disease is not viable because the costs for healthcare system, but other low-cost solutions based on computer vision approaches can be pursued
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