Body sensor networks for gait assessment in Parkinson's disease
Gruppi di ricerca SYSTEM BIOLOGY GROUP - SYSBIO
Tipo tesi EXPERIMENTAL APPLIED
Descrizione The thesis focuses on the analysis of gait signals collected from people with Parkinson's disease.
Data recorded with multiple inertial sensors will be processed to extract meaningful information.
Sensor fusion algorithms and machine learning models will be developed to automatically assess gait quality and estimate motor function.
Conoscenze richieste - Matlab or Python programming
- Signal processing
- Basic knowledge of machine learning models
Scadenza validita proposta 06/10/2024 PROPONI LA TUA CANDIDATURA