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Epilepsy analysis using open source EDF tools for information science and data analytics
Authors:Sasikumar Gurumoorthy  Naresh Babu Muppalaneni  Chandra Sekhar  Golla Sandhya Kumari
Abstract:Electroencephalogram (EEG) is the signals that measure the electrical variances of brain using metal electrodes. We observe the EEG signals by using European Data Format (EDF) BROWSER and EEG STUDIO. By using EDF BROWSER, we can get the mean and frequency from the filtered output signal using band‐pass filter. Using EDF BROWSER, we can also perform Root Mean Square (RMS) and signal samples. Using EEG STUDIO, we can analyze the average frequency and standard deviation. Epileptic seizure prediction and detection are done by spike detection, frequency domain analysis, and nonlinear methods. EEG signal contains different artifacts like electrooculography (EOG), EKG, and electrocardiogram (ECG). ECG signals are produced by heart. EOG signals are produced by eyes. EMG signals are produced by muscle coordination.
Keywords:analytics  dual‐tree discrete wavelet transform  EDF BROWSER  EEG STUDIO  epilepsy  information  wavelet dependent thresholding denoising  wavelet packet decomposition
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