A Multi-modal Tool Suite for Parkinson’s Disease Evaluation and Grading

摘要: The traditional diagnosis of Parkinson’s disease (PD) aims to assess several clinical manifestations, and it is commonly based on medical observations. However, an overall evaluation extremely difficult due the large variety symptoms that affect PD patients. Furthermore, assessment visual subjective observation different motor tasks. For this reasons, automatic system could be able automatically rate objectively evaluate performed Such then support specialists in rating patients a real scenario. In work, we developed multi-modal tool suite extract process meaningful features from tasks by means two main experimental set-ups. detail, acquired evaluated performance during finger tapping, foot tapping hand writing exercises. Several sets have been extracted signals used both successfully classify subject as patient or healthy subject, among