NEUROBOX: An Open-Source Suite for the Flow Control of EEG Experiments

• Published in: 2023 IEEE Colombian Caribbean Conference (C3) pp. 1 - 6
• Main Authors: Antequera, Nicolle A., Florez, Sebastian A., Trocha, Neymer D., Olivares, Cristian Y., Schettini, Norelli
• Format: Conference Proceeding
• Language: English
• Published: IEEE 22.11.2023
• Subjects: FPGA; Psychopy; Stimuli Synchronization; Temporal Analysis; Triggers
• DOI: 10.1109/C358072.2023.10436149

Electroencephalography (EEG) enables an understanding of brain functioning through the recording of its electrical signals. However, the components necessary for generating temporal marks, crucial for accurately timestamping when a subject receives a stimulus, are typically costly.This paper presents the development of a prototype designed for conducting EEG experiments while providing stimulus marks. The prototype is capable of receiving visual and auditory stimuli and offers haptic interaction through a switch button. It combines these signals into a unified stream, which is then transmitted to the EEG equipment.The processing hardware relies on the Very High-Speed Integrated Circuit Hardware Description Language (VHDL), implemented on Field Programmable Gate Arrays (FPGA). A test bench, utilizing PsychoPy in Python, was created to assess the prototype's performance. The flexibility of the prototype allows researchers to fine-tune its settings, offering a cost-effective solution to the research community for conducting EEG experiments with heightened confidence in temporal analysis.