Real-time detection of brain events in EEG

After reading Mr. Jacques J. Vidal paper, entitled “Toward direct brain-computer communication”, I went through his “Real-time detection of brain events in EEG”.

I was presented with the continuation of his work and the description of his signal detection strategy for detecting and classifying evoked EEG responses. From evaluating single ERP Epochs against averaging the evoked responses to real-time identification of ERP’s through a seven-step data processing method, the experiments run at the Brain Computer Interface Laboratory at University of California at Los Angeles (UCLA), demonstrated a positive result in his approach.

By the end of the paper, there was a bigger certain that signal processing of single epochs can be used to tackle fundamental questions in ERP research, and through their analysis, the fluctuations of electrical potential in the ERP could be translated into direct answers to specific quests under the experiment paradigm.

After reading this paper, I start to understand how brain-computer interfaces began to exist and why, after so many years, we’re starting to see outstanding results. Good foundations lay the blocks that shape the path to great outcomes!

The future, I will see during the next papers to be read. But, these papers and recent technology is proof that the human brain can be understood by computers to some extension. Now, we only need a good translator and the proper message.

Regarding my own research, I hope to find more about reading brain signals evoked through stimuli, and wonder about writing it back to the brain (the foundation of the NerveGear).


Author: Pedro Oliveira

Master in Informatics and Computer Engineering; Game Developer at FABAMAQ. Photographer, Marketer and Designer. Interested in Virtual Reality, Brain-Computer Interfaces, Neuro Engineering.

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