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- Title
A Novel Scheme for detection of Parkinson's disorder from Hand-eye Coordination behavior and DaTscan Images.
- Authors
Sivanesan, Ramya; Anwar, Alvia; Talwar, Abhishek; Menaka, R.; Karthik, R.
- 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%.
- Subjects
PARKINSON'S disease diagnosis; EYE-hand coordination; MEDICAL imaging systems; ARTIFICIAL neural networks; PARAMETER estimation
- Publication
KSII Transactions on Internet & Information Systems, 2016, Vol 10, Issue 9, p4367
- ISSN
1976-7277
- Publication type
Article
- DOI
10.3837/tiis.2016.09.019