A Novel Scheme for detection of Parkinson’s disorder from Hand-eye Co-ordination behavior and DaTscan Images

• Ramya Sivanesan,
• Alvia Anwar,
• Abhishek Talwar,
• Menaka. R,
• Karthik. R,

Vol. 10, No. 9, September 29, 2016
10.3837/tiis.2016.09.019, Download Paper (Free):

• Parkinson’s Disease(PD)
• Eye-hand Co-ordination
• DaTscan images
• Multi-Layer Perceptron(MLP)
• Back Propogation (BP).

Abstract

With millions of people across the globe suffering from Parkinson’s disease (PD), an objective, confirmatory test for the same is yet to be developed. This research aims to develop a system which can assist the doctor in objectively saying whether the patient is normal or under risk of PD. The proposed work combines the eye-hand co-ordination behaviour with the DaTscan images in order to determine the risk of this disorder. Initially, eye-hand coordination level of the patient is assessed through a hardware module. Then, the DaTscan image is analysed and used to extract certain geometrical parameters which shall indicate the presence of PD. These parameters are then finally fed into a Multi-Layer Perceptron Neural Network using Levenberg-Marquardt (LM) Back propagation training algorithm. Experimental results indicate that the proposed system exhibits an accuracy of around 93%.

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