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浏览/检索结果: 共5条，第1-5条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Automatic ocular artifacts removal in EEG using deep learning 期刊论文 BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2018, 卷号: 43, 页码: 148-158 作者:  Yang, Banghua[1];  Duan, Kaiwen[2];  Fan, Chengcheng[3];  Hu, Chenxiao[4];  Wang, Jinlong[5] 收藏  |  浏览/下载：5/0  |  提交时间：2019/04/22 Ocular artifacts (OAs) removal  Electroencephalogram (EEG)  Deep learning network (DLN)  Independent component analysis (ICA)  Shallow network   Removal of Electrooculogram Artifacts from Electroencephalogram Using Canonical Correlation Analysis with Ensemble Empirical Mode Decomposition 期刊论文 COGNITIVE COMPUTATION, 2017, 卷号: 9, 页码: 626-633 作者:  Yang, Banghua[1];  Zhang, Tao[2];  Zhang, Yunyuan[3];  Liu, Wanquan[4];  Wang, Jianguo[5] 收藏  |  浏览/下载：7/0  |  提交时间：2019/04/24 Electroencephalogram (EEG)  Electrooculogram (EOG)  Artifacts removal  Canonical correlation analysis (CCA)  Ensemble empirical mode decomposition (EEMD)   EOG Artifacts Reduction from EEG Based on Deep Network and Recursive Least Squares Adaptive Filter 会议论文 Joint Conference of the 16th Asia Simulation Conference / SCS International Autumn Simulation Multi-Conference (AsiaSim/SCS AutumnSim), 2016-01-01 作者:  Yang, Banghua[1];  Duan, Kaiwen[2];  Zhang, Tao[3];  Zhang, Yonghuai[4] 收藏  |  浏览/下载：11/0  |  提交时间：2019/04/26 Electrooculogram (EOG)  Electroencephalogram (EEG)  Deep Network (DN)  Recursive Least Squares adaptive (RLS) filtering   Removal of EOG artifacts from EEG using a cascade of sparse autoencoder and recursive least squares adaptive filter 期刊论文 NEUROCOMPUTING, 2016, 卷号: 214, 页码: 1053-1060 作者:  Yang, Banghua[1];  Duan, Kaiwen[2];  Zhang, Tao[3] 收藏  |  浏览/下载：2/0  |  提交时间：2019/04/26 Electrooculogram (EOG)  Electroencephalogram (EEG)  Sparse autoencoder (SAE)  Recursive least squares (RLS) adaptive filtering  Brain computer interfaces (BCIs)   Development of a BCI Simulated Application System Based on Unity3D 会议论文 5th International Conference on Virtual Reality and Visualization (ICVRV), 2015-10-17 作者:  Yang, Banghua[1];  Zhang, Tao[2];  Duan, Kaiwen[3] 收藏  |  浏览/下载：2/0  |  提交时间：2019/04/26 brain computer interface  application system  Unity3D  virtual reality  TCP/IP