Sushanta Kumar Sahu, Supriyo Choudhury, Mona Tiwari, Hrishikesh Kumar and Ananda S. Chowdhury
Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, West Bengal, India
Department of Neurology, Institute of Neurosciences Kolkata, Kolkata, West Bengal, India
Department of Neuro-Radiology, Institute of Neurosciences Kolkata, Kolkata, West Bengal, India
Parkinson’s disease (PD) is a neurodegenerative condition that affects millions of individuals worldwide. One of its main symptoms is motor impairment, which includes tremors, rigidity, and bradykinesia. Accurate and early estimation of the PD stage is crucial for effective diagnosis and disease management. In this paper, we propose a hybrid ML-DL approach to estimate different (as many as four) stages of PD. We utilize multi-modal data and apply late fusion
Partial code available on request. Link