A convolutional network for the classification of sleep stages

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http://hdl.handle.net/2183/21120Collections
- Investigación (FIC) [1615]
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A convolutional network for the classification of sleep stagesDate
2018-09-14Citation
Fernández-Varela, I.; Hernández-Pereira, E.; Moret-Bonillo, V. A Convolutional Network for the Classification of Sleep Stages. Proceedings 2018, 2, 1174.
Abstract
[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.
Keywords
Sleep staging
Convolutional neural network
Classification
Convolutional neural network
Classification
Description
Trátase dun resumo estendido da ponencia
Editor version
Rights
Atribución 3.0 España
ISSN
2504-3900