【作者】 王辰；

【导师】 李鹏海；

【作者基本信息】 天津理工大学 ， 电子科学与技术， 2023， 硕士

【摘要】 随着脑电研究的不断发展,脑电采集技术也得到了不断的改善,并被广泛应用在医学,心理学等领域。基于现阶段脑电电极中,湿电极操作复杂且不宜长时间佩戴,而干电极柔性差,佩戴舒适度差等问题。本文制备了一种柔性银/碳纳米管-氧化石墨烯-聚二甲基硅氧烷(Ag/CNT-GO@PDMS)贴片电极,用于记录诱发脑电图(Electroencephalogram,EEG)信号和识别单词。该电极是通过在铜箔上旋涂CNT-GO@PDMS和注入导电银浆制备而成,CNT与GO组成的微观导电网络在SEM下清晰可见,电极贴的元素组成与结构在各种表征手段下也十分明显。在CNT-GO@PDMS非接触电容模式和Ag微爪接触电流模式的协同感知机制下记录脑电图信号。优化后的Ag/CNTGO@PDMS贴片,在饱和Na Cl溶液作为电解质时,头皮区域的头皮接触电阻低至6.4 kΩ。信噪比(SNR)值在枕区,α波约为90 d B,稳态视觉诱发信号约为9d B;而在颞区听觉诱发脑电信号的信噪比约为10 d B。本文构建了一个由Ag/CNT-GO@PDMS电极构成的7导联脑电帽,记录了视觉稳态诱发电位(Steady-State Visual Evoked Potential,SSVEP)和多次听觉稳态反应(Multiple Auditory Steady-State Response,MASSR)下的脑电图信号。这些电极在SSVEPMASSR范式下识别了9个“1”到“9”的单词,平均准确率为70.9%。我们开发了Ag/CNT-GO@PDMS的标准化流程,提出了一种基于SSVEP-MASSR范式的单词识别新策略,这对脑电图语言数据库的建立和脑电图在信息交流传输领域的应用具有重要意义。更多还原

【Abstract】 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.更多还原