Analysis of EMG Signal for Hemiplegia Patients Using Hilbert Transform in Labview
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 5
Abstract
The electromyography (EMG) signals gives more information about different features of the muscle function. These electrical activities which are displayed in the form of signal, the result of neuromuscular activation associated with muscle contraction. The motor unit is the most elementary functional unit of a muscle, when motor unit activate, it generates a motor unit action potential. Continuous activation of motor units generates to form the EMG signals. In conventional method the EMG signals are acquired using surface electrodes. The acquired signals were processed and the feature extraction was performed using RMS filter and median frequency filter for normal people. The mean and median frequency filter has disadvantages of oscillation and aliasing effect. In proposed method, the EMG signals are downloaded from Physionet bank, for the hemiplegia patients and normal healthy persons. Surface electrodes used to acquire the EMG signals from the Tibial arterials and Soleus muscles in the lower limb. The signals are pre processed using Band pass filter and Hilbert Transforms are used. Feature extraction like Zero Crossing, Mean Absolute Value and Integrated EMG, ANN classification are preformed using LabVIEW 10.
Authors and Affiliations
A. N. Nithyaa, S. Poonguzhali, G. Nirupashri
Keywords
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