A Wearable Device for Realtime Assessment of Vigilance

Abstract

International recognized research groups have presented studies where EEG and EOG biosignals were used to visualize and classify sleep stages. Based on these state of the art fndings an automated detection and classifcation of sleep stages has been realized. Beyond that there is a mandatory necessity for an automated classification and estimation of vigilance and alertness during the wake state. This paper presents recent work on a classification model, implemented in a wearable device. Its application opens the opportunity to calculate a quantitative vigilance profile in real time, in real life situations. It has been shown that the device is suitable to acquire necessary biosignals in an unobtrusive way, and perform real-time vigilance classification.