Web-based Platform for Training in Biomedical Signal Processing and Classification: the Particular Case of EEG-based Drowsiness Detection

Authors

Abstract

Online Experimentation, which comprises remote and virtual experimentation, has played an important role, over the years, in the development of the students learning process. One of its examples is the use of webbased resources to study physiological events in topics of biomedical engineering. This article discusses the use of a virtual experimentation environment as a training tool for studying different methodologies that can be applied to detect drowsiness based on electroencephalogram (EEG) signals. As a result of this web-based platform, students can be more motivated to learn different methods that can be used in the processing and analysis of physiological data. As a final result, it can even be used to create a real-time detector for drowsiness, thus preventing the occurrence of road accidents.

Keywords

Drowsiness, Electroencephalogram (EEG), Web-based resources, Online experimentation

Subject

Biomedical Signal Processing and Classification

Journal

International Journal of Online Engineering (iJOE), Vol. 14, #3, pp. 164-171, March 2018

DOI