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Analysis of EEG using Variational Mode Decomposition Method for Diagnosis of Epilepsy

机译:使用变分模分解方法分析癫痫诊断

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EEG represents electrical activity of the brain. Various brain disorders can be analyzed from the information that can be extracted from EEG signal. Extraction of relevant information from EEG is an arduous task due to the highly chaotic nature of EEG signal. Various signal processing techniques can be employed for this process. Variational mode decomposition(VMD) technique involves decomposition of EEG into sub bands characterized by limited bandwidth and characterized by center frequency. The value of center frequency is extracted for the sub bands and the value is analyzed as a parameter for diagnosing normal EEG and diseased EEG.
机译:脑电图代表大脑的电活动。 可以从可以从EEG信号中提取的信息分析各种脑障碍。 由于EEG信号的高度混沌性质,从脑电图提取相关信息是艰巨的任务。 可以采用各种信号处理技术用于该过程。 变分模式分解(VMD)技术涉及EEG分解成具有有限带宽的子带,其特征在于中心频率。 为子频带提取中心频率的值,并且将该值分析为用于诊断正常脑电图和患病的参数。

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