Matteo Giacosa
Development and validation of artificial intelligence algorithms for Subthalamic Nucleus identification from intracortical signals.
Rel. Valentina Agostini, Marco Ghislieri. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2023
Abstract
Parkinson’s Disease (PD) is a neurodegenerative disorder that is rather common in our society nowadays which affects both movement and cognitive function depending on its stage. Since a definitive cure does not exist and the standard medication for PD are subjected to the issue of “wearing off”, one way to improve the quality of life of PD patients is the SubThalamic Nucleus Deep Brain Stimulation (STN-DBS). This operation consists of a surgical implantation of small electrodes in the STN to deliver electrical impulses which help to alleviate neurological and motor symptoms like tremors and rigidity. The effectiveness of STN-DNS is very much dependent on the accuracy of the electrode’s implantation.
For this reason, Micro-Electrodes Recordings (MERs) are obtained during the operation to help identifying the position of the STN and ensuring the correct placement of the electrodes
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