Artificial intelligence is being used by researchers at the Department of Physical Education’s Human Movement Laboratory (Movi-Lab) at São Paulo State University (UNESP) in Bauru, Brazil, to assist in the diagnosis and prediction of the progression of Parkinson's disease.
Scientists are using artificial intelligence to help identify cases of Parkinson’s disease and estimate its progression by analyzing spatial and temporal gait parameters.
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IMAGE: The scientists detected incapacities related to gait timing and foot placement. Their discoveries serve as a basis for the development of an exercise protocol that mitigates the difficulty view more
Credit: Movi-Lab
By Karina Ninni | Agência FAPESP – A multidisciplinary research group affiliated with the Department of Physical Education’s Human Movement Laboratory (Movi-Lab) at São Paulo State University (UNESP) in Bauru, Brazil, measured step length synergy while crossing obstacles in patients with Parkinson’s disease and concluded that it was 53% lower than in healthy subjects of the same age and weight. Step length is one of the main variables affected by the disease.