Proper Features Extraction from the Multiple Sclerosis Disease Postural Disorders for Decision Support System Definition

Abstract:

Multiple Sclerosis (MS) is one of the most common neurological diseases that it is often progressive and disabling. Its main cause is destruction of myelin sheaths by the immune system. Myelin damage seriously affects people’s physical activities, such as postural impairments. Early detection of the disease is very important in disease management. Unfortunately, currently there is no definite test for MS diagnosis. Of course, there are some tests that help to confirm the diagnosis in advanced stages of the disease butnone of them can independently confirm the disease and have some restrictions and errors. It seems that quantitative analysis of movement disorders especially postural disorders can be helpful in diagnosis of MS even in its early stages. In this study, posturalimpairment was studied. First postural disorders were extracted, then obtained signals were processed quantitatively sovariance and proper frequency features were extracted. At the end, using statistical tests it was shown that these features were significantly different. Therefore based on the results it is possible to design a classifier that can be a firm basis for presenting Decision Support System (DSS) for multiple sclerosis diagnosis.

• Periodical: Applied Mechanics and Materials (Volume 666)
• Pages: 230-234
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.666.230
• Online since: October 2014
• Authors: Hakimeh Pourakbari*, Yashar Sarbaz, Jalal Parvin, Mohammad Hossein Vojudi
• Keywords: Image Processing, Multiple Sclerosis, Postural Disorders, Statistical Analysis

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