Analysing the Stage - Parkinson Disease with “Abhita” Rating Scale

Electroencephalogram (EEG) is used to analyse the affected patient's which are suffering from any chronic disease's based on neurology. Study includes 3 methods to analyse the Parkinson Disease (PD) patients i.e. EEG, Questionnaire and hypophonia. Study focuses as to avoid Deep Brain Simulation which nowadays is the only solution for Parkinson disease patient to recover. Study also deals with a vision about Deep Brain simulation (DBS) which is the last solution to Parkinson disease patients to recover with. Study focus on the evaluation of the level at which Parkinson disease patient is suffering which results in the decision that whether DBS is required or not. It will be analysed using “ABHITA” rating scale already done in 2020. One of the major findings about the study is to overcome patient suffering from PD up to an extent which results in minimizing the anxiety of patient. All the implications clearly detect stage of PD based on symptoms through which patient is suffering. Image processing has also been used in this study to detect the severity of disease by using distance evaluation method. This study deals with the analysis of level of effectiveness in human body for which proper prescription will be given to PD patients. It includes a proposed rating scale which has not yet in use and is much helpful for accurate analysis of PD as it considers the symptom along with the motion of the body. Study also deals with questionnaire which help in manual analysis to detect the stage of Parkinson disease as per the proposed rating scale.