幅度调制稳态听觉刺激脑电信号响应及选择性注意力分析

Patients with atresia cannot control eye movement independently, and cannot use visual Brain-Computer Interface (BCI) to realize consciousness communication. The technology of auditory BCI is not restricted by vision. It is of great significance to realize the consciousness communication of such patients. Firstly, the response characteristics of different subjects to auditory evoked stimuli with amplitude modulation frequency change were studied to obtain the amplitude-frequency characteristics of auditory passband. Based on the auditory passband frequency characteristics of subjects, a new auditory selective attention paradigm was designed. The stimulus frequency with stronger response amplitude was selected as the stimulus frequency of subjects. An improved spatial coherence Electroencephalogram (EEG) signal resolution method was proposed, which improves algorithm robustness and achieves higher classification accuracy. The two-class classification was realized through attention selection. In this paper, the frequency characteristics of the auditory passband of different subjects were accessed, and the auditory amplitude-frequency characteristic curves of the human brain in the frequency range of 35-94 Hz are obtained. It was found that the response amplitude is the strongest in the frequency range of 35-44 Hz. By using the improved spatial coherence algorithm, the proposed experimental paradigm based on the passband characteristics and the fixed frequencies experimental paradigm for three subjects were compared and tested. The results show that the proposed experimental paradigm and the improved spatial coherence algorithm achieve higher accuracy.