Classification of Parkinson’s disease using FBNN Algorithm

Abstract

Parkinson's Disease (PD) one of the movement disorders which occur in the neurological activities, but the diagnosis of disease is quite challenging. Sometimes the diagnosis methods are difficult at the time of considering a large number of motor and non-motor symptoms in PD patients. But it is highly risk to manage PD patients in medical management. To enhance that lot of research are focused on PD for long term approaches. Further this paper contributes the reviews and treatment of Parkinson’s disease using MEG signals. Also it concluded with experimental analysis of Feed Back Neural Network (FBNN) with different parametric features.