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Multi-modal Technology-Based Assessment of Parkinson’s Disease: Technological Platform of the AI4HA Project

  • Francesca Lunardini,
  • Jorge Andrés Gómez García,
  • Elisa Luque-Buzo,
  • Karan Chugani,
  • Teresa Rodríguez Millán,
  • Miguel Ángel Ferre Bañón,
  • Juan Ignacio Godino-Llorente,
  • Aureli Soria-Frisch,
  • Jesús Tornero,
  • Diego Torricelli

摘要

This paper describes the technological platform of the AI4HA project, one of the first global efforts to develop a multimodal platform based on Artificial Intelligence (AI) for the analysis of Parkinson’s Disease (PD). It involves the multimodal analysis of gross-motor (EMG, force platforms, inertial sensor), fine-motor (handwriting, speech, oculometries) and non-motor biometrics (EEG) to improve diagnosis and assessment of the disease. This paper also serves as a basis for the Multi-Modal Technology-Based Assessment of PD workshop, where discussions are made in terms of the advantages in clinical settings of the integrative approach followed in the project. The project aims to enhance diagnosis and evaluation by means of decision support systems to enhance PD care.