NDLI: A comparison of monopolar and bipolar EEG recordings for SSVEP detection

Content Provider	IEEE Xplore Digital Library
Author	Diez, P.F. Mut, V. Laciar, E. Avila, E.
Copyright Year	2010
Description	Author affiliation: Instituto de Automática, Facultad de Ingeniería. UNSJ, Argentina (Mut, V.) \|\| Laboratorio de Electrónica Digital (LED), Facultad de Ingeniería. UNSJ, Argentina (Avila, E.) \|\| Gabinete de Tecnología Médica (GATEME), Universidad Nacional de San Juan (UNSJ), Argentina (Diez, P.F.; Laciar, E.)
Abstract	This paper presents a comparative study over the detection of Steady-State Visual Evoked Potential (SSVEP) with monopolar or bipolar electroencephalographic (EEG) recordings in a Brain-Computer Interface experiment. Five subjects participated in this study. They were stimulated with four flickering lights at 13, 14, 15 and 16 Hz and the EEG was measured simultaneously with two bipolar channels (O1-P3 and O2-P4) and with six monopolar channels at O1, O2, P3, P4, T5 and T6 referenced to FZ. The EEG was processed by means of spectral analysis and the estimation of power at each stimulation frequency and its harmonics. In average, the monopolar recordings present accuracy in classification of 74.5% against an 80.1% for bipolar recordings. It was found that bipolar recording are better than monopolar recordings for detection of SSVEP.
Starting Page	5803
Ending Page	5806
File Size	658200
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5627451
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Accuracy Electrodes Signal processing Estimation Electric potential Steady-state
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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