Using Features Extracted From Upper Limb Reaching Tasks to Detect Parkinson’s Disease by Means of Machine Learning Models

• Auteurs principaux: Giuseppe Cesarelli (Auteur), Leandro Donisi (Auteur), Francesco Amato (Auteur), Maria Romano (Auteur), Mario Cesarelli (Auteur), Giovanni D'Addio (Auteur), Alfonso M. Ponsiglione (Auteur), Carlo Ricciardi (Auteur)
• Format: Livre
• Publié: IEEE, 2023-01-01T00:00:00Z.
• Sujets: article
• Accès en ligne: Connect to this object online.

While in the literature there is much interest in investigating lower limbs gait of patients affected by neurological diseases, such as Parkinson’s Disease (PD), fewer publications involving upper limbs movements are available. In previous studies, 24 motion signals (the so-called reachin...