Detection of Parkinson’s Disease Using Rating Scale

Abstract

Parkinson disease (PD) is a neurodegenerative disorder. Many common symptoms which may or may not indicate that patient is suffering from Parkinson Disease. In this study a novel rating scale has been introduced which helps to examine the level of Parkinson Disease but is not mandatory that a person having similar symptoms may surely suffering from Parkinson Disease. PD is an unsolved problem till date hence the study focuses on relevant features, drugs and common techniques used to detect or analyze PD. To overcome such problem different techniques will be used to study and analyze the early detection of PD. It can be analyzed with the help of deep understanding of Parkinson Disease. However presence of some common symptoms has not yet been described up to the mark to analyze the level of Parkinson Disease. Hence it is very challenging to detect early stage of Parkinson Disease. In study, work focuses on only confirmed symptoms of Parkinson Disease which doesn’t deals to any other disease completely. Study also focus on the Unified Parkinson’s Disease Rating scale (UPDRS) for Parkinson Disease along with respective symptoms. It includes the analysis in terms of medical science and computer applications for analyzing PD. Medication for PD has also been discussed in the study including wide literature survey which provide the clearance of the goal for treating PD. Proposed rating scale in the study is time efficient as compared with UPDRS.