ISRUC-Sleep: A comprehensive public dataset for sleep researchers

Author:

Khalighi SirvanORCID,Sousa Teresa,Santos José Moutinho,Nunes Urbano

Funder

Portuguese Foundation for Science and Technology

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference58 articles.

1. Feature selection for sleep/wake stages classification using data driven methods;Zoubek;Biomed. Signal Process. Control,2007

2. Learning machines and sleeping brains: automatic sleep stage classification using decision-tree multi-class support vector machines;Lajnef;J. Neurosci. Methods,2015

3. Assessing EEG sleep spindle propagation. Part 1: Theory and proposed methodology;O’Reilly;J. Neurosci. Methods,2014

4. Automatic classification of sleep stages based on the time-frequency image of EEG signals;Bajaj;Comput. Methods Progr. Biomed.,2013

5. Automated sleep stage identification system based on time-frequency analysis of a single EEG channel and random forest classifier;Fraiwan,2011

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