ViSA-EEG: A user-centered application for visualization and statistical analysis of EEG signals

Abstract

The most common applications for human EEG research are: Neuromarketing, Human factors, Social interaction, Psychology and Neuroscience, Clinical and Psychiatric Studies and Brain Computer Interfaces (BCI). In the BCI research, the existence of software for the analysis of EEG signals is observed, however its functionality is limited to showing the signals and certain predefined characteristics, almost focused on the medical area, allowing a visual analysis by an expert, in addition to the fact that this software is developed depending on the signals to be analyzed and on the BCI itself. Therefore, for the development of BCIs, it is necessary for the developer to have software that allows him to visualize and analyze the EGG signals, in addition to being able to test and compare the interaction of users through the BCI, as well as his brain activity during the interaction and being able to observe the causes. In this context, we propose ViSA-EEG web application that allows BCI developers to visualize and analyze the EEG signals. This application was developed under a user-centered approach, involving the user in each of the four development phases and using different UX tools and techniques.