منابع مشابه
Parkinsons Disease Classification using Neural Network and Feature Selection
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...
متن کاملManual Therapy Choices: A General Approach to Parkinsons Disease
In treating dysfunction, it is normal for most therapists to use a variety of modalities and methods including myofascial release, muscle-energy techniques, positional-release techniques and many more. The assumption must be that different tools achieve different effects, and the ones we choose reflect our perception as to the needs of the individual and/or of the tissues involved. Sledgehammer...
متن کاملAutomatic, 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...
متن کاملNEWS : Parkinsons Apomorphine Nodules and Ultrasound Study
Volume 3 Issue 3 Page 1 ElectrotherapyNews is provided free of charge to subscribe go to : www.electrotherapy.org and select from the top menu. All you need is to log your name and e mail and new editions will sent to your e mail about every 2-3 months. By all means share your copy around or tell your friends to register themselves. Your e mail and contact details WILL NOT be passed to anybody ...
متن کاملFalls in Parkinson Disease
Falls are a major risk for Parkinson disease patients (PD). We sought to understand why patients fall. In one study we followed 404 PD patients for a year, 204 of who fell at least once. We did not distinguish between single and recurrent fallers. In a second study we followed 249 different patients for a year, 205 of whom fell once and 44 fell more than once (recurrent fallers). In the first s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Age and Ageing
سال: 2001
ISSN: 1468-2834
DOI: 10.1093/ageing/30.1.3