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Dual-TTFNet: An end-to-end dual-branch temporal and time-frequency fusion network for auditory attention decoding in steady state motion auditory evoked potential.

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第一作者： Huanqing,Zhang

第一单位： School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China. Electronic address: zhanghuanqing@stu.xjtu.edu.cn.

作者： Huanqing,Zhang ^[1] ; Jun,Xie ^[2] ; Kaixuan,Liu ^[3] ; Yan,Liu ^[4] ; Wenxiang,Dong ^[5]

作者单位： School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China. Electronic address: zhanghuanqing@stu.xjtu.edu.cn. ^[1] School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China. Electronic address: xiejun@xjtu.edu.cn. ^[2] School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China. Electronic address: liukx_020@stu.xjtu.edu.cn. ^[3] School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China. Electronic address: lewsky1046@stu.xjtu.edu.cn. ^[4] School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China. Electronic address: WenxiangDONG@stu.xjtu.edu.cn. ^[5]

关键词 Auditory attention decoding (AAD)Brain computer interface (BCI)Dual-branch neural network S-transform convolution kernel Steady-state motion auditory evoked potential (SSMAEP)