Nonlinear eye movement detection method for drowsiness studies

Automatic detection of slow wave sleep using two channel electro-oculography

“…Also effects of awakening from slow wave sleep, producing sleep inertia affecting performance (Tassi and Muzet, 2000), could be studied with the method. The method can be extended to separate wakefulness, REM, S1 and S2 by using additional features of EOG signals (Varri et al, 1996). Our unpublished results indicate that slow eye movements (SEM) can separate S1 and the approach presented in this study can also separate S2.…”

Waveform detection with RBF network – Application to automated EEG analysis

“…Although the electrical activity of the eyes (Electro-oculography, EOG) produces also interferences in the EEG, these are not considered because they can normally be found only on a few channels. Moreover, we already have a reliable method for detecting EOG activity [12,10].…”

The use of two-channel electro-oculography in automatic detection of unintentional sleep onset

“…Saccade velocities decrease in sleepiness (Hyoki et al, 1998;Russo et al, 2003) and blink durations increase (Caffier et al, 2003;Åkerstedt et al, 2005). There are several automatic methods for evaluating sleepiness and sleep onset based partly on the analysis of the central EEG (Värri et al, 1992;Hasan et al, 1993;Hasan, 1996;Lal and Craig, 2002;Kiymik et al, 2004) but only a limited number of automatic methods for detecting slow eye movements (Värri et al, 1992(Värri et al, , 1995(Värri et al, , 1996Atienza et al, 2004;Magosso et al, 2006).…”