A radial basis deformable residual convolutional neural model embedded with local multi-modal feature knowledge and its application in cross-subject classification
Jingjing Li(Yanshan University), Wen Dong(University of Science and Technology Beijing), Dingna Duan(University of Science and Technology Beijing), Tzyy‐Ping Jung(Brain (Germany)), Xianglong Wan(University of Science and Technology Beijing), Haiqing Song(Capital Medical University), Xianling Dong(Chengde Medical University), Tiange Liu(University of Science and Technology Beijing), Hao Yu(China National GeneBank), Danyang Li(Zhengzhou University), Yanhong Zhou(Hebei Normal University of Science and Technology)
Cited by 4
Related Papers
Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG Via Block Sparse Bayesian Learning
|IEEE Transactions on Biomedical Engineering|2012|342
Compressed Sensing of EEG for Wireless Telemonitoring With Low Energy Consumption and Inexpensive Hardware
|IEEE Transactions on Biomedical Engineering|2012|274
Review of Wireless and Wearable Electroencephalogram Systems and Brain-Computer Interfaces – A Mini-Review
|Gerontology|2009|131
Spatiotemporal Sparse Bayesian Learning With Applications to Compressed Sensing of Multichannel Physiological Signals
|IEEE Transactions on Neural Systems and Rehabilitation Engineering|2014|112