Now showing items 1-2 of 2
A new approach to eliminating EOG artifacts from the sleep EEG signals for the automatic sleep stage classification
(Neural Computing and Applications, 2017)
Interference between EEG and EOG signals has been studied heavily in clinical EEG signal processing applications. But, in automatic sleep stage classification studies these effects are generally ignored. Thus, the objective ...
Detection of the electrode disconnection in sleep signals
(IEEE 23nd Signal Processing and Communications Applications Conference (SIU), 2015)
Sleep staging process that is performed in sleep laboratories in hospitals has an important role in diagnosing some of the sleep disorders and disturbances which are seen in sleep. And also it is an indispensable method. ...