Premotor Diagnosis of Parkinson’s Disease

Premotor Symptoms as Predictors of Outcome in Parkinsons Disease: A Case-Control Study

BACKGROUND To evaluate the association between the premotor symptoms and the prognosis of PD. METHODS A total of 1213 patients who were diagnosed of PD from January 2001 to December 2008 were selected from the Taiwan's National Health Insurance Research Database. Patients were traced back to determine the presence of premotor symptoms, including rapid eye movement sleep behavior disorder (RBD...

A Case Study of Parkinsons Disease Diagnosis using Artificial Neural Networks

Artificial Neural Network (ANN)-based diagnosis of medical diseases has been taken into great consideration in recent years. In this paper, two types of ANNs are used to classify effective diagnosis of Parkinson's disease. Multi-Layer Perceptron (MLP) with back-propagation learning algorithm and Radial Basis Function (RBF) ANNs were used to differentiate between clinical variables of sampl...

Premotor Parkinson disease.

etiology, significance, diagnosis and treatment of bruxiam

چکیده ندارد.

Automatic, unsupervised classification of dyskinesia in patients with Parkinsons Disease

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...