Dept. Electronics and Communication Engineering, Khulna University of Engineering Technology, Bangladesh;
Dept. Electronics and Communication Engineering, Khulna University of Engineering Technology, Bangladesh;
Dept. Electronics and Communication Engineering, Khulna University of Engineering Technology, Bangladesh;
Faculty of ESTeM, University of Canberra, Australia;
Feature extraction; Electrocardiography; Databases; Transforms; Support vector machines; Standards; Heart;
机译:使用二维互相关特征提取和非线性分类器对THz脉冲信号进行分类
机译:心电图信号对情绪状态的分类:基于赫斯特的非线性方法
机译:使用机器学习分类的心电图信号特征提取
机译:萃取心电图信号和分类的线性和非线性特征
机译:一种使用从时频图提取的纹理特征的神经网络分类从心电图信号中检测阻塞性睡眠呼吸暂停的新方法。
机译:心电图信号对情绪状态的分类:基于赫斯特的非线性方法
机译:使用二维互相关特征提取和非线性分类器对THz脉冲信号进行分类