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http://dx.doi.org/10.3837/tiis.2016.09.019

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

Sivanesan, Ramya (School of Electronics Engineering, VIT University)
Anwar, Alvia (School of Electronics Engineering, VIT University)
Talwar, Abhishek (School of Electronics Engineering, VIT University)
R, Menaka. (School of Electronics Engineering, VIT University)
R, Karthik. (School of Electronics Engineering, VIT University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.10, no.9, 2016 , pp. 4367-4385 More about this Journal
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%.
Keywords
Parkinson’ s Disease(PD); Eye-hand Co-ordination; DaTscan images; Multi-Layer Perceptron(MLP); Back Propogation (BP);
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