| We prepared a flexible silver/carbon nanotube?graphene oxide?polydimethylsiloxane(Ag/CNT?GO@PDMS)patch electrode for recording evoked electroencephalography(EEG)signals and identifying words.The above patch electrodes are prepared by spin-coating CNT-GO@PDMS on Cu foil and injecting Ag microclaws.The electrode recorded EEG signals under the synergistic sensing mechanism of non-contact capacitance mode of CNT-GO@PDMS and contact current mode of Ag microclaws.For the optimized Ag/CNT-GO@PDMS patch,when saturated Na Cl solution is used as electrolyte,the scalp-contact resistance in the hair area is as low as 6.4 kΩ.In the occipital region,the signal-to-noise ratio(SNR)values are approx.90 d B for α-waves and 9 d B for visual-evoked signals;while the SNR of auditory-evoked EEG signals in the temporal region is approx 10 d B.We constructed an EEG cap with seven Ag/CNT-GO@PDMS electrodes to record EEG signals in visual steady-state evoked potentials(SSVEP)and multiple auditory steady-state response(MASSR).These electrodes recognized nine words of one to nine in the SSVEP?MASSR paradigm,with an average accuracy of 70.9%.We have developed the standardized process of flexible Ag/CNT-GO@PDMS patch and proposed a new strategy to identify words based on SSVEP-MASSR paradigm,which is of great significance for the establishment of EEG language database and the application of EEG in the field of information transmission. |