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Evaluation of Closed-Loop Feedback System Delay: A time-critical perspective for neurofeedback training

Publication Type:

Conference/Workshop Paper

Venue:

International Joint Conference on Biomedical Engineering Systems and Technologies


Abstract

Neurofeedback in real-time has proven effective when subjects learn to control a BCI. To facilitate learning, a closed-loop feedback system should provide neurofeedback with maximal accuracy and minimal delay. In this article, we propose a modular system for real-time neurofeedback experiments and evaluate its performance as a function of increased stress level applied to the system. The system shows stable behavior and decent performance when streaming with many EEG channels (36-72) and 500-5000 Hz, which is common in BCI setups. With very low data loads (1 channel, 500-1000 Hz) the performance dropped significantly and the system became highly unpredictable. We show that the system delays did not correlate linearly with the stress-level applied to the system, emphasizing the importance of system delay tests before conducting realtime BCI-experiments.

Bibtex

@inproceedings{Tidare5073,
author = {Jonatan Tidare and Elaine {\AA}strand and Martin Ekstr{\"o}m},
title = {Evaluation of Closed-Loop Feedback System Delay: A time-critical perspective for neurofeedback training},
month = {January},
year = {2018},
booktitle = {International Joint Conference on Biomedical Engineering Systems and Technologies},
url = {http://www.es.mdu.se/publications/5073-}
}