Fernández-Varela, IsaacHernández-Pereira, ElenaMoret-Bonillo, Vicente2018-10-082018-10-082018-09-14Fernández-Varela, I.; Hernández-Pereira, E.; Moret-Bonillo, V. A Convolutional Network for the Classification of Sleep Stages. Proceedings 2018, 2, 1174.2504-3900http://hdl.handle.net/2183/21120Trátase dun resumo estendido da ponencia[Abstract] The classification of sleep stages is a crucial task in the context of sleep medicine. It involves the analysis of multiple signals thus being tedious and complex. Even for a trained physician scoring a whole night sleep study can take several hours. Most of the automatic methods trying to solve this problem use human engineered features biased for a specific dataset. In this work we use deep learning to avoid human bias. We propose an ensemble of 5 convolutional networks achieving a kappa index of 0.83 when classifying 500 sleep studies.engAtribución 3.0 Españahttp://creativecommons.org/licenses/by/3.0/es/Sleep stagingConvolutional neural networkClassificationconference outputopen access10.3390/proceedings2181174