机译:使用熵自动诊断癫痫性脑电图
Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore 599489, Singapore;
Department of Electronics, Politecnico di Torino, 24 Corso Duca degli Abruzzi, Torino 10129, Italy;
School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore;
Department of Computer Science and Engineering, National Institute of Science and Technology, Berhampur, Orissa, India;
Department ofBiomedical Imaging, University of Malaya, Kuala Lumpur, Malaysia,University of Malaya Research Imaging Centre, Kuala Lumpur, Malaysia;
CTO, Global Biomedical Technologies, CA, USA,Biomedical Engineering Department (Affiliated), Idaho State University, ID, USA;
epilepsy; preictal; entropy; EEG; feature extraction; classifiers;
机译:基于可调Q小波变换的多尺度熵测度用于癫痫脑电信号的自动分类
机译:基于可调Q小波变换的多尺度熵测度用于癫痫脑电信号的自动分类
机译:基于小波分析和算术编码的新颖方法,用于使用机器学习技术自动检测和诊断脑电信号中的癫痫发作
机译:FAWT框架中基于熵的特征可自动检测癫痫性脑电信号
机译:跟踪数字视频中的癫痫患者,以进行自动视频EEG监控。
机译:使用分布熵和样本熵对5-S癫痫性脑电记录进行分类
机译:1使用脑电图和概率神经网络自动癫痫诊断的新方法