汪小双，大连理工大学医学部，助理研究员（合作导师丛丰裕教授）。2019-2022，在芬兰于韦斯屈莱大学攻读博士学位（国家留学基金委CSC资助）。主要研究方向为：癫痫发作预测与检测、脑认知信号处理及人工智能等医工交叉方向。承担国家自然科学基金项目1项。在IEEE JBHI，IEEE TNSRE，IJNS，Neurocomputing，EUSIPCO等国际权威期刊及会议上发表论文10余篇。

代表性论文

[1] Xiaoshuang Wang, Guanyu Wang*, Tingting Wu*, Ying Wang, Tommi Kärkkäinen, and Fengyu Cong. “EEG-Based Seizure Onset Detection of Frontal and Temporal Lobe Epilepsies Using 1DCNN.” IEEE Transactions on Neural Systems and Rehabilitation Engineering 33 (2025): 2263-2272. (JCR: Q1, 中科院1区, IF=5.2)

[2] Xiaoshuang Wang, Ziheng Gao, Meiyan Zhang, Ying Wang, Lin Yang, Jianwen Lin*, Tommi Kärkkäinen*, and Fengyu Cong. “Combination of channel reordering strategy and dual CNN-LSTM for epileptic seizure prediction using three iEEG datasets.” IEEE Journal of Biomedical and Health Informatics 28, no. 11 (2024): 6557-6567. (JCR: Q1,中科院1区TOP, IF=6.7,  Citations: 5)

[3] Xiaoshuang Wang, Chi Zhang, Tommi Kärkkäinen*, Zheng Chang, and Fengyu Cong*. “Channel increment strategy-based 1D convolutional neural networks for seizure prediction using intracranial EEG.” IEEE Transactions on Neural Systems and Rehabilitation Engineering 31 (2022): 316-325. (JCR: Q1, 中科院1区, IF=5.2, Citations: 22)

[4] Xiaoshuang Wang, Guanghui Zhang, Ying Wang, Lin Yang, Zhanhua Liang*, and Fengyu Cong*. “One-dimensional convolutional neural networks combined with channel selection strategy for seizure prediction using long-term intracranial EEG.” International Journal of Neural Systems 32, no. 02 (2022): 2150048. (JCR: Q1, 中科院1区TOP, IF=8, Citations: 37)

[5] Xiaoshuang Wang, Xiulin Wang, Wenya Liu, Zheng Chang, Tommi Kärkkäinen*, and Fengyu Cong*. “One dimensional convolutional neural networks for seizure onset detection using long-term scalp and intracranial EEG.” Neurocomputing 459 (2021): 212-222. (JCR: Q1, IF=6, Citations: 126)

[6] Ziheng Gao, Zhiwan Xiong, Xiaoshuang Wang*, Yi Chang*, Tommi Kärkkäinen, and Fengyu Cong. “Heartbeat Evoked Potential and Spectral Analysis in Patients with Panic Disorder During Resting State.” Psychiatry Research: Neuroimaging (2025): 112039.

主持/参与项目

[1] 融合癫痫发作预测、发作检测与发作类型识别的梯次深度学习算法研究，国自然青年科学基金项目，30万，2025-2027，主持。

[2] 植入式癫痫及疲劳状态辨识算法嵌入式迁移，80万，2023-2026，主要参与。