Diagnostics, rehabilitation and models of Parkinson’s disease

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Diagnostics, rehabilitation and models of Parkinson’s disease

Diagnostics and rehabilitation of Parkinson’s disease (PD) presents the current information pertaining to etiology, early biomarkers for diagnostics, novel methods to evaluate symptoms, multidisciplinary rehabilitation, new applications of brain imaging and invasive methods to the study of PD. Researchers have only recently begun to focus on the non-motor symptoms of PD, which are poorly recogn...

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In this study, the Multi-Layer Perceptron (MLP)with Back-Propagation learning algorithm are used to classify to effective diagnosis Parkinsons disease(PD).It’s a challenging problem for medical community.Typically characterized by tremor, PD occurs due to the loss of dopamine in the brains thalamic region that results in involuntary or oscillatory movement in the body. A feature selection algor...

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One of the characteristic symptoms of patients with Parkinson Disease (PD) is a rigidity of movement. These symptoms disappear after administration of Levodopa. However, the long-term use of levodopa causes involuntary movements (dyskinesia). A proper diagnosis requires an automatic, unsupervised method for the detection and classification of levodopa induced dyskinesia. The main problem, howev...

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ژورنال

عنوان ژورنال: Health

سال: 2012

ISSN: 1949-4998,1949-5005

DOI: 10.4236/health.2012.431178