Abstract
The present work describes the design and construction of an exoskeleton that allows to mitigate the tremor of pronosupination that is produced during the rest in patients with Parkinson's disease. The device seeks to reduce involuntary movements by controlling electromyographic signals together with artificial neural networks. Parkinson's disease is a progressive and incurable neurodegenerative pathology whose most evident symptom is Parkinson's tremor or resting tremor whose oscillation frequency is between 3 and 6 Hz. The result of the investigation was an exoskeleton of 2 degrees of freedom controlled by an embedded system that processes electromyographic signals through artificial neural networks. The prediction of Parkinson's tremor has an accuracy of 53.65% and 51.04% precision, while voluntary movement has an accuracy of 89.27% and 90.09% precision.
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