title: Developing a one-channel BCI system using a dry claw-like electrode.
abstract: An eight-class SSVEP-based BCI system was designed and demonstrated in this study. To minimize the complexity of the traditional equipment and operation, only one work electrode was used. The work electrode was fabricated in our laboratory and designed as a claw-like structure with a diameter of 15 mm, featuring 8 small fingers of 4mm length and 2 mm diameter, and the weight was only 0.1g. The structure and elasticity can help the fingers pass through the hair and contact the scalp when placed on head. The electrode was capable to collect evoked brain activities such as steady-state visual evoked potentials (SSVEPs). This study showed that although the amplitude and SNR of SSVEPs obtained from a dry claw electrode was relatively lower than that from a wet electrode, the difference was not significant. This study further implemented an eight-class SSVEP-based BCI system using a dry claw-like electrode. Three subjects participated in the experiment. Using infinite impulse response (IIR) filtering and a simplified threshold method based on fast Fourier transform (FFT), the average accuracy of the three participants was 89.3% using 4 sec-long SSVEPs, leading to an average information transfer rate (ITR) of 26.5 bits/min. The results suggested the ability of using a dry claw-like electrode to perform practical BCI applications.
authors.lastname: Xuhong Guo
authors.lastname: Weihua Pei
authors.lastname: Yijun Wang
authors.lastname: Qiang Gui
authors.lastname: He Zhang
authors.lastname: Xiao Xing
authors.lastname: Yong Huang
authors.lastname: Hongda Chen
authors.lastname: Ruicong Liu
authors.lastname: Yuanyuan Liu
mesh_terms: D062207:Brain-Computer Interfaces; D004566:Electrodes; D004569:Electroencephalography / Q000295:instrumentation*; D004867:Equipment Design; D005074:Evoked Potentials, Visual; D005583:Fourier Analysis; D006801:Humans; D059629:Signal-To-Noise Ratio