Neuro Degenerative Disease Detection with SEP Approach
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 11
Abstract
In this paper, a technique of statistical, Energy values and peak analysis (SEP) approach is proposed for detection of neurodegenerative diseases from the signal of force sensitive resistors. In this work within the time series Left Stride Interval, Right Stride Interval, Left Swing Interval, Right Swing Interval, Left Stance Interval, Right Stance Interval and Double support interval are obtained and apply the SEP method. In statistical analysis, energy, standard deviation, mean, variance, co-variance are calculated. Two approximations and two details of energy values are extracted from wavelet decomposition. Average peak interval and peak histogram are calculated using peak analysis. Support Vector Machine (SVM) and Random Forest are used as a classifier. Data sets which include a healthy control (HC), various types of Neuro degenerative Diseases: Parkinson Disease (PD), Huntington Disease (HD), Amyotrophic Lateral Sclerosis. For disease diagnostic Force Sensitive resistor signals are used for evaluation. The results show that the proposed technique can successfully detect the NDD pathologies. For NDD detection, the accuracy, the Sensitivity, the Specificity values are 97%, 97% and 97% using Random forest Classifier. Indexed Terms: Neuro Degenerative Diseases (NDD), Parkinson Disease(PD), Huntington Disease(HD), Amyotrophic Lateral Sclerosis(ALS), Support Vector Machine(SVM), Random Forest (RF)classifier
Authors and Affiliations
A. Athisakthi, Dr. M. Pushpa Rani
Keywords
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