汪小双

个人简介：

汪小双，工学博士，助理研究员。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。

研究方向：

1、癫痫发作预测、发作检测与发作类型识别算法研究

2、事件相关电位、微状态及脑网络分析

科研情况：

承担国家自然科学基金项目1项，参与省市级课题3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。

教育经历：

2019.3-2022.12  于韦斯屈莱大学（芬兰）-软件与通信工程-博士

2016.9-2018.6  大连理工大学-生物医学工程-硕士

2012.9-2016.6  青岛科技大学-自动化-学士

工作经历：

2023.2-至今 大连理工大学-医学部-助理研究员/博士后

论文成果：
[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.

[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.

[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.

[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.

[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.

[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.