An automatic detection of focal EEG signals using new class of time-frequency localized orthogonal wavelet filter banks

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• 作者：Manish Sharma ; ^a ; ^{manishsharma.iitb@gmail.com} ; Abhinav Dhere^b ; ^{abhinavdhere@gmail.com} ; Ram Bilas Pachori^a ; ^{pachori@iiti.ac.in} ; U. Rajendra Acharya^c ; ^d ; ^e ; ^{aru@np.edu.sg}
• 关键词：EEG ; Epilepsy ; Focal EEG signals ; Non&ndash ; focal EEG signals ; Time&ndash ; frequency localization ; Wavelet filter banks ; LS&ndash ; SVM ; Wavelet entropies
• 刊名：Knowledge-Based Systems
• 出版年：2017
• 出版时间：15 February 2017
• 年：2017
• 卷：118
• 期：Complete
• 页码：217-227
• 全文大小：2547 K
• 卷排序：118

文摘

Proposed an automatic detection of focal and non-focal EEG signals. Design of a new class of time-frequency localized wavelet filter banks. Obtained the highest classification accuracy of 94.25%. Computationally faster than all existing methods.