Title :
SSVEP-BCI implementation for 37–40 Hz frequency range
Author :
Müller, Sandra Mara Torres ; Diez, Pablo F. ; Bastos-Filho, Teodiano Freire ; Sarcinelli-Filho, Mário ; Mut, Vicente ; Laciar, Eric
Author_Institution :
Dept. of Eng. & Comput., Fed. Univ. of Espirito Santo (UFES), Sao Mateus, Brazil
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
This work presents a Brain-Computer Interface (BCI) based on Steady State Visual Evoked Potentials (SSVEP), using higher stimulus frequencies (>;30 Hz). Using a statistical test and a decision tree, the real-time EEG registers of six volunteers are analyzed, with the classification result updated each second. The BCI developed does not need any kind of settings or adjustments, which makes it more general. Offline results are presented, which corresponds to a correct classification rate of up to 99% and a Information Transfer Rate (ITR) of up to 114.2 bits/min.
Keywords :
brain-computer interfaces; decision trees; medical signal processing; neurophysiology; signal classification; statistical analysis; visual evoked potentials; SSVEP-BCI implementation; brain-computer interface; decision tree; frequency 37 Hz to 40 Hz; information transfer rate; real time EEG signals; signal classification; statistical test; steady state visual evoked potentials; Brain computer interfaces; Decision trees; Electrodes; Electroencephalography; Frequency estimation; Steady-state; Visualization; Algorithms; Automation; Brain; Communication; Communication Aids for Disabled; Decision Trees; Electroencephalography; Equipment Design; Evoked Potentials, Visual; Humans; Man-Machine Systems; Models, Statistical; Robotics; Signal Processing, Computer-Assisted; User-Computer Interface;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091568
