机译:基于局部平均分解和深卷积神经网络的癫痫癫痫发作预测
Shandong Normal Univ Sch Phys & Elect Shandong Prov Key Lab Med Phys & Image Proc Techn Jinan 250358 Peoples R China;
Shandong Univ Qianfoshan Hosp Jinan 250014 Peoples R China;
Shandong Univ Sch Microelect Jinan 250100 Peoples R China;
Qilu Univ Technol Sch Elect Engn & Automat Jinan 250353 Peoples R China;
Qufu Normal Univ Sch Informat Sci & Engn Rizhao 276826 Peoples R China;
Shandong Normal Univ Sch Phys & Elect Shandong Prov Key Lab Med Phys & Image Proc Techn Jinan 250358 Peoples R China;
Shandong Normal Univ Sch Phys & Elect Shandong Prov Key Lab Med Phys & Image Proc Techn Jinan 250358 Peoples R China;
EEG; Seizure prediction; Local mean decomposition; Convolutional neural network; Deep learning; Bayesian linear discriminant analysis;
机译:基于小波包分解,卷积神经网络和卷积长期短期记忆网络的基于智能深度学习的风速预测模型
机译:用卷积神经网络预测癫痫发作和功能近红外光谱信号
机译:基于修改的原子搜索优化基于脑电图信号的癫痫癫痫发作预测的深度复发性神经网络
机译:基于轻量级结构深卷积神经网络和小波分解的鲁棒性癫痫发作分类
机译:癫痫发作模式和深神经结构对癫痫癫痫发作预测的多种特征分析
机译:一种深度卷积神经网络方法用于使用癫痫脑电图(EEG)数据检测癫痫发作和特征频率
机译:一种深度卷积神经网络方法,用于使用癫痫脑电图(EEG)数据检测癫痫发作和特征频率