Developing Deep Learning Models Using BioSignals for Monitoring and Assisting Individuals with Motor Disorders

This thesis has presented a comprehensive exploration of AI-driven solutions for Multiple Sclerosis management and assistance, addressing both predictive modeling for disease progression and practical assistive technologies. Our work spans from developing sophisticated survival analysis models for MS progression prediction to creating innovative biosensor-based systems for daily assistance, addressing critical challenges faced by individuals with motor disorders worldwide.