A COMBINATION DEEP BELIEF NETWORKS AND SHALLOW CLASSIFIER FOR SLEEP STAGE CLASSIFICATION

A COMBINATION DEEP BELIEF NETWORKS AND SHALLOW CLASSIFIER FOR SLEEP STAGE CLASSIFICATION

In this research, it is proposed to use Deep Belief Networks (DBN) in shallow classifier for the automatic sleep stage classification. The automatic classification is required to minimize Polysomnography examination time because it needs more than two days for analysis manually. Thus the automatic...

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Bibliographic Details
Main Authors: Intan Nurma Yulita, Rudi Rosadi, Sri Purwani, Rolly Maulana Awangga
Format: Article
Language:English
Published: Informatics Department, Engineering Faculty 2016-12-01
Series:Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi
Subjects:
Deep Belief Networks
Shallow Classifier
Sleep Apnea
Sleep Stage Classification
Online Access:https://kursorjournal.org/index.php/kursor/article/view/97

Internet

https://kursorjournal.org/index.php/kursor/article/view/97

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