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Recurrent Deep Neural Networks for Real-Time Sleep Stage Classification From Single Channel EEG.

, , and . Frontiers Comput. Neurosci., (2018)

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Probabilistic characterization of sleep architecture: Home Based study on healthy volunteers., , , , , , and . EMBC, page 2834-2838. IEEE, (2016)EEG-rhythm dynamics during a 2-back working memory task and performance., , , and . EMBC, page 3828-3831. IEEE, (2011)Respiratory-cycle related analysis of the EEG-spectrum during sleep: A healthy population study., and . EMBC, page 1940-1943. IEEE, (2013)Comparison of feature and classifier algorithms for online automatic sleep staging based on a single EEG signal., , , and . EMBC, page 1876-1880. IEEE, (2014)Phase detection in a visual-evoked-potential based brain computer interface., , and . EUSIPCO, page 949-953. IEEE, (2010)Joint Time-Frequency-Space Classification of EEG in a Brain-Computer Interface Application., , and . EURASIP J. Adv. Signal Process., 2003 (7): 713-729 (2003)Classification of EEG signals in the ambiguity domain for brain computer interface applications., , and . DSP, page 301-305. IEEE, (2002)Towards Unobtrusive Automated Sleep Stage Classification - Polysomnography using Electrodes on the Face., , , , and . HEALTHINF, page 487-492. SciTePress, (2012)Automatic characterization of sleep need dissipation dynamics using a single EEG signal., , , , , and . EMBC, page 5993-5997. IEEE, (2015)Morphological synthesis of ECG signals for person authentication., , , , and . EUSIPCO, page 738-742. IEEE, (2007)