Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse Autoencoders

We developed a machine learning methodology for automatic sleep stage scoring. Our time-frequency analysis-based feature extraction is fine-tuned to capture sleep stage-specific signal features as described in the American Academy of Sleep Medicine manual that the human experts follow. We used ensem...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Annals of biomedical engineering Ročník 44; číslo 5; s. 1587 - 1597
Hlavní autoři:	Tsinalis, Orestis, Matthews, Paul M., Guo, Yike
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.05.2016 Springer Nature B.V
Témata:	Accuracy Adult Automation Biochemistry Biological and Medical Physics Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Biophysics Channels Classical Mechanics Classification Databases, Factual Electroencephalography - instrumentation Electroencephalography - methods Female Frequency analysis Humans Machine Learning Male Manuals Mathematical models Scoring Signal Processing, Computer-Assisted Sleep Sleep Stages Young adults Deep learning Electroencephalography Ensemble learning EEG
ISSN:	0090-6964, 1573-9686, 1573-9686
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!