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. Author manuscript; available in PMC: 2019 May 1.
Published in final edited form as: IEEE J Biomed Health Inform. 2017 Jul 14;22(3):642–652. doi: 10.1109/JBHI.2017.2727218

Fig. 7.

Fig. 7

Flow diagram of the experiments for seizure detection in [18]. In this method, extracted features from raw EEG signals are fed directly into several classifiers and also into the DBN, and then logistic regression is used as a classifier. We thank for providing us with a permission to reproduce this figure, which was originally published in “Deep belief networks used on high resolution multichannel electroencephalography data for seizure detection,” by J. Turner, A. Page, T. Mohsenin, and T. Oates, in Proc. AAAI Spring Symposium Series, Palo Alto, California, USA, Mar. 24–26, Copyright ©2014, Association for the Advancement of Artificial Intelligence.