DocumentCode
1879838
Title
Frequency component analysis of eeg recording on various visual tasks: Steady-state visual evoked potential experiment
Author
Inkaew, Narongrit ; Charoenkitkamjorn, Nattaphon ; Yangpaiboon, Chongkon ; Phothisonothai, Montri ; Nuthong, Chaiwat
Author_Institution
Int. Coll., King Mongkut´s Inst. of Technol. Ladkrabang, Bangkok, Thailand
fYear
2015
fDate
28-31 Jan. 2015
Firstpage
180
Lastpage
183
Abstract
Nowadays, steady-state visual evoked potential (SSVEP) is ongoing in many research topics. It also plays an important role in the response to various visual stimuli such as flickering rate (F), intensity (I), and duty cycle (D). The SSVEPs are practical and useful in research because of its excellent signal-to-noise ratio and relative immunity to artifacts. The application of using SSVEP-based system has been widely succeeded in many disciplines. In this paper, we investigate SSVEP corresponding to the different visual stimulation in terms of frequency component analysis in the four principal frequency bands, i.e., delta (0.1-3.5 Hz), theta (4.0-7.5 Hz), alpha (8.0-13.0 Hz), and beta (14.0-30.0 Hz). Subjects were instructed to fixate LED light source then record associated SSVEP waveform. The variation in displaying of the presentation stimuli during a task was examined. Experimental results showed that the major frequency distribution has been found in theta and alpha bands.
Keywords
electroencephalography; medical signal processing; neurophysiology; noise; visual evoked potentials; EEG recording; LED light source; SSVEP-based system; frequency 0.1 Hz to 3.5 Hz; frequency 14.0 Hz to 30.0 Hz; frequency 4.0 Hz to 7.5 Hz; frequency 8.0 Hz to 13.0 Hz; frequency component analysis; signal-to-noise ratio; steady-state visual evoked potential experiment; visual stimulation; visual stimuli; Band-pass filters; Biometrics (access control); Electroencephalography; Frequency control; Light sources; Steady-state; Visualization; EEG; Electroencephalogram; Frequency analysis; SSVEP; Steady-state Visually Evoked Potential; Visual stimuli;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge and Smart Technology (KST), 2015 7th International Conference on
Conference_Location
Chonburi
Print_ISBN
978-1-4799-6048-4
Type
conf
DOI
10.1109/KST.2015.7051483
Filename
7051483
Link To Document