Title :
Measuring Steady-State Visual Evoked Potentials from non-hair-bearing areas
Author :
Yu-Te Wang ; Yijun Wang ; Chung-kuan Cheng ; Tzyy-Ping Jung
Author_Institution :
Comput. Sci. & Eng. Dept., Univ. of California San Diego (UCSD), La Jolla, CA, USA
fDate :
Aug. 28 2012-Sept. 1 2012
Abstract :
Steady-State Visual Evoked Potential (SSVEP)-based Brain-Computer Interface (BCI) applications have been widely applied in laboratories around the world in the recent years. Many studies have shown that the best locations to acquire SSVEPs were from the occipital areas of the scalp. However, for some BCI users such as quadriparetic patients lying face up during ventilation, it is difficult to access the occipital sites. Even for the healthy BCI users, acquiring good-quality EEG signals from the hair-covered occipital sites is inevitably more difficult because it requires skin preparation by a skilled technician and conductive gel usage. Therefore, finding an alternative approach to effectively extract high-quality SSVEPs for BCI practice is highly desirable. Since the non-hair-bearing scalp regions are more accessible by all different types of EEG sensors, this study systematically and quantitatively investigated the feasibility of measuring SSVEPs from non-hair-bearing regions, compared to those measured from the occipital areas. Empirical results showed that the signal quality of the SSVEPs from non-hair-bearing areas was comparable with, if not better than, that measured from hair-covered occipital areas. These results may significantly improve the practicality of a BCI system in real-life applications; especially used in conjunction with newly available dry EEG sensors.
Keywords :
brain-computer interfaces; data acquisition; electroencephalography; gels; medical signal processing; skin; visual evoked potentials; EEG sensors; EEG signal acquisition; brain-computer interface; conductive gel usage; nonhair-bearing areas; occipital areas; quadriparetic patients; real-life applications; scalp; skin preparation; steady-state visual evoked potential measurement; ventilation; Area measurement; Electrodes; Electroencephalography; Face; Scalp; Signal to noise ratio; Visualization; Electrodes; Evoked Potentials, Visual; Hair; Humans; Male; Scalp; Signal-To-Noise Ratio;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6346301