PORTALE DELLA DIDATTICA

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  KEYWORD

Body sensor networks for gait assessment in Parkinson's disease

Parole chiave MACHINE LEARNING, MOTION ANALYSIS, PARKINSON'S DISEASE, SIGNAL PROCESSING, WEARABLE DEVICES

Riferimenti LUIGI BORZI', GABRIELLA OLMO

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




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