Next to stroke, the epilepsy is one of the most serious neurological disorders. Due to the hyperactive firing of neurons on a cellular level, epilepsy is caused. The activities of the cortical regions are recorded with the help of Electroencephalogram (EEG) which helps in the diagnosis of epilepsy. The normal patterns of the activities of neurons becomes severely disturbed in the case of epilepsy, thereby causing several hazardous consequences to the patients. The recordings of the EEG are quite long and so with the help of Hilbert Transform the dimensions of the EEG signals are reduced. Now with the help of Elman Backpropagation and Multilayer Perceptron (MLP) Neural Networks, the dimensionally reduced values through Hilbert Transform are classified for assessing the epilepsy risk levels from EEG signals. The result analysis show an average accuracy of about 100% is obtained when the combination of Hilbert transform with Elman Backpropagation neural network is used. Similarly when Hilbert transform is implemented with the help of MLP, an average accuracy of about 97.916% along with a Performance Index of 95.74% is obtained.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Hilbert transform with Elman backpropagation and multilayer perceptrons for epilepsy classification


    Beteiligte:


    Erscheinungsdatum :

    01.04.2017


    Format / Umfang :

    283118 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Classification by Autoassociative Multilayer Perceptrons

    Schwenk, H. / Milgram, M. / IEEE et al. | British Library Conference Proceedings | 1994


    Parallel Off-Line Training of Multilayer Perceptrons

    McLoone, S. / Irwin, G. / British Institute of Regulatory Affairs et al. | British Library Conference Proceedings | 1995



    Optimizing Digital Hardware Perceptrons for Multi-Spectral Image Classification

    Porter, R. / Harvey, N. / Perkins, S. et al. | British Library Online Contents | 2003


    Realization of a Multilayer Backpropagation Neural Network with Parallel Working Microprocessors

    Niebling, G. / Meinke, U. / IEEE et al. | British Library Conference Proceedings | 1994