文章基本信息

标题：FPQA Implementation of Huang Hilbert Transform for Classification of Epileptic Seizures Using Artificial Neural Network
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作者：G.Deepika ; K.S.Rao
期刊名称：International Journal of VLSI Design & Communication Systems
印刷版ISSN：0976-1527
电子版ISSN：0976-1357
出版年度：2019
卷号：10
期号：3
页码：19-27
DOI：10.5121/vlsic.2019.10302
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The most common brain disorders due to abnormal burst of electrical discharges are termed as Epilepticseizures. This work proposes an efficient approach to extract the features of epileptic seizures bydecomposing EEG into band limited signals termed as IMF’s by empirical decomposition EMD. HuangHilbert Transform is applied on these IMF’s for calculating Instantaneous frequencies and are classifiedusing artificial neural network trained by Back propagation algorithm. The results indicate an accuracy of97.87%. The algorithm is implemented using Verilog HDL on Zynq 7000 family FPGA evaluation boardusing Xilinx vivado 2015.2 version.
关键词：EEG; IMF;EMD