A Convolutional Network for the Classification of Sleep Stages

Proceedings

Hernández-Pereira, Elena¹  Fernández-Varela, Isaac²  Moret-Bonillo, Vicente³ 

[1] Author to whom correspondence should be addressed.;CITIC, Universidade da Coruña, 15071 A Coruña, Spain;Presented at the XoveTIC Congress, A Coruña, Spain, 27–28 September 2018.

关键词: sleep staging;    convolutional neural network;    classification;   

DOI  :  10.3390/proceedings2181174

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY