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An autoregressive method for the measurement of synchronization of interictal and ictal EEG signals

机译：一种自动回归方法，用于测量发作间期和发作期脑电信号的同步

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Piotr Franaszczuk; Gregory Bergey;
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年度 1999
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3. Wavelet Based Features for Classification of Normal, Ictal and Interictal EEG Signals [J] . Thasneem Fathima, M. Bedeeuzzaman, Paul K. Joseph Journal of Medical Imaging and Health Informatics . 2013,第2期

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4. Classification for Ictal and Interictal EEG Signals Using Empirical Mode Decomposition [C] . A. Sabarivani, R. Ramadevi International Conference on Advance Computing and Innovative Technologies in Engineering . 2021

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5. Design of a recognition system for monitoring the depth of anesthesia, based on the autoregressive modeling and neural network analysis of the EEG signals. [D] . Sharma, Ashutosh. 1993

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6. A Critical Review: Coupling and Synchronization Analysis Methods of EEG Signal with Mild Cognitive Impairment [O] . Dong Wen, Yanhong Zhou, Xiaoli Li 2015

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7. EEG/fMRI study of ictal and interictal epileptic activity: methodological issues and future perspectives in clinical practice. [O] . C. DI BONAVENTURA, A. E. VAUDANO, M CARNI', 2006

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An autoregressive method for the measurement of synchronization of interictal and ictal EEG signals

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