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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-}
}