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Comparison of Empirical Mode Decomposition, Wavelets, and Different Machine Learning Approaches for Patient-Specific Seizure Detection Using Signal-Derived Empirical Dictionary Approach.

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第一作者： Muhammad,Kaleem

第一单位： Department of Electrical Engineering, University of Management and Technology, Lahore, Pakistan.

作者： Muhammad,Kaleem ^[1] ; Aziz,Guergachi ^[2] ; Sridhar,Krishnan ^[3]

作者单位： Department of Electrical Engineering, University of Management and Technology, Lahore, Pakistan. ^[1] Department of Information Technology Management, Ted Rogers School of Management, Ryerson University, Toronto, ON, Canada. ^[2] Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Toronto, ON, Canada. ^[3]

关键词 classification feature extraction long-term EEG patient-specific seizure detection signal decomposition signal derived dictionary approach

DOI 10.3389/fdgth.2021.738996

PMID 34966902

发布时间 2021-12-31

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Comparison of Empirical Mode Decomposition, Wavelets, and Different Machine Learning Approaches for Patient-Specific Seizure Detection Using Signal-Derived Empirical Dictionary Approach.

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Comparison of Empirical Mode Decomposition, Wavelets, and Different Machine Learning Approaches for Patient-Specific Seizure Detection Using Signal-Derived Empirical Dictionary Approach.

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Frontiers in digital health

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