Sleep Stages Classification Using Spectral Based Statistical Moments as Features
نویسندگان
چکیده
منابع مشابه
Sleep Stages Classification Using Spectral Based Statistical Moments as Features
In the pursuit of portable, efficient and effective sleep staging systems, researchers have been testing a massive number of combinations of EEG features and classifiers. State of the art sleep classification ensembles achieve accuracy in the order of 90%. However, there is presently no consensus regarding the best set of features for identifying sleep stages with a single EEG channel, leading ...
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ژورنال
عنوان ژورنال: Revista de Informática Teórica e Aplicada
سال: 2018
ISSN: 2175-2745,0103-4308
DOI: 10.22456/2175-2745.74030