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Improving the performance of empirical mode decomposition via Tsallis entropy: Application to Alzheimer EEG analysis.

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第一作者： Prinza,Lazar

第一单位： Department of Electronics and Communication, TKR College of Engineering and Technology, Hyderabad, 500097, India.

作者： Prinza,Lazar ^[1] ; Rajeesh,Jayapathy ^[2] ; Jordina,Torrents-Barrena ^[3] ; M,Mary Linda ^[4] ; Beena,Mol ^[5] ; J,Mohanalin ^[6] ; Domenec,Puig ^[3]

作者单位： Department of Electronics and Communication, TKR College of Engineering and Technology, Hyderabad, 500097, India. ^[1] Department of Electronics and Communication Engineering, College of Engineering, Thalassery, 670107, India.;Department of Computer Engineering and Mathematics, University Rovira i Virgili, Tarragona, 43007, Spain. ^[2] Department of Computer Engineering and Mathematics, University Rovira i Virgili, Tarragona, 43007, Spain. ^[3] Department of Electrical and Electronics Engineering, Ponjesly College of Engineering, Nagercoil, 629003, India. ^[4] Department of Civil Engineering, LBS College of Engineering, Kasaragod, 671542, India. ^[5] Department of Electrical and Electronics Engineering, College of Engineering Pathanpuram, Pathanpuram, 689696, India. ^[6]

关键词 Alzheimer’s disease EEG signals Tsallis entropy empirical mode decomposition neural network