Epilepsy analysis using open source EDF tools for information science and data analytics

被引:1
|
作者
Gurumoorthy, Sasikumar [1 ]
Muppalaneni, Naresh Babu [2 ]
Sekhar, Chandra [1 ]
Kumari, Golla Sandhya [1 ]
机构
[1] Sree Vidyanikethan Engn Coll, Dept Comp Sci & Syst Engn, Tirupati, Andhra Pradesh, India
[2] Natl Inst Technol Silchar, Dept Comp Sci & Engn, Silchar, Assam, India
关键词
analytics; dual-tree discrete wavelet transform; EDF BROWSER; EEG STUDIO; epilepsy; information; wavelet dependent thresholding denoising; wavelet packet decomposition; SEIZURE DETECTION; EEG SIGNALS; IDENTIFICATION;
D O I
10.1002/dac.4095
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页数:11
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