Lo Giudice, M.; Ferlazzo, E.; Mammone, N.; Gasparini, S.; Cianci, V.; Pascarella, A.; Mammì, A.; Mandic, D.; Morabito, F.C.; Aguglia, U.
Convolutional Neural Network Classification of Rest EEG Signals among People with Epilepsy, Psychogenic Non Epileptic Seizures and Control Subjects. Int. J. Environ. Res. Public Health 2022, 19, 15733.
https://doi.org/10.3390/ijerph192315733
AMA Style
Lo Giudice M, Ferlazzo E, Mammone N, Gasparini S, Cianci V, Pascarella A, Mammì A, Mandic D, Morabito FC, Aguglia U.
Convolutional Neural Network Classification of Rest EEG Signals among People with Epilepsy, Psychogenic Non Epileptic Seizures and Control Subjects. International Journal of Environmental Research and Public Health. 2022; 19(23):15733.
https://doi.org/10.3390/ijerph192315733
Chicago/Turabian Style
Lo Giudice, Michele, Edoardo Ferlazzo, Nadia Mammone, Sara Gasparini, Vittoria Cianci, Angelo Pascarella, Anna Mammì, Danilo Mandic, Francesco Carlo Morabito, and Umberto Aguglia.
2022. "Convolutional Neural Network Classification of Rest EEG Signals among People with Epilepsy, Psychogenic Non Epileptic Seizures and Control Subjects" International Journal of Environmental Research and Public Health 19, no. 23: 15733.
https://doi.org/10.3390/ijerph192315733
APA Style
Lo Giudice, M., Ferlazzo, E., Mammone, N., Gasparini, S., Cianci, V., Pascarella, A., Mammì, A., Mandic, D., Morabito, F. C., & Aguglia, U.
(2022). Convolutional Neural Network Classification of Rest EEG Signals among People with Epilepsy, Psychogenic Non Epileptic Seizures and Control Subjects. International Journal of Environmental Research and Public Health, 19(23), 15733.
https://doi.org/10.3390/ijerph192315733
