A transition-constrained discrete hidden Markov model for automatic sleep staging

A transition-constrained discrete hidden Markov model for automatic sleep staging

<p>Abstract</p> <p>Background</p> <p>Approximately one-third of the human lifespan is spent sleeping. To diagnose sleep problems, all-night polysomnographic (PSG) recordings including electroencephalograms (EEGs), electrooculograms (EOGs) and electromyograms (EMGs), are...

Full description

Bibliographic Details
Main Authors: Pan Shing-Tai, Kuo Chih-En, Zeng Jian-Hong, Liang Sheng-Fu
Format: Article
Language:English
Published: BMC 2012-08-01
Series:BioMedical Engineering OnLine
Subjects:
Sleep Staging
Discrete Hidden Markov Model (DHMM)
Electroencephalogram (EEG)
Electrooculogram (EOG)
Electromyogram (EMG)
Online Access:http://www.biomedical-engineering-online.com/content/11/1/52

Internet

http://www.biomedical-engineering-online.com/content/11/1/52

Similar Items