Dept. of Electr. Electron. Eng., Bangladesh Univ. of Eng. Technol., Dhaka, Bangladesh;
electroencephalography; medical disorders; medical signal processing; neural nets; pattern classification; wavelet transforms; EEG database; EEG literature; EEG signal; EMD-based algorithm; artificial neural network; classifier; dual tree complex wavelet transform domain; electroencephalogram; epilepsy detection; seizure detection; subband correlation-based method; time-frequency algorithm; Accuracy; Artificial neural networks; Correlation; Electroencephalography; Epilepsy; Feature extraction; Time-frequency analysis; A;
机译:使用双树复小波-傅立叶特征自动检测脑电图
机译:使用双树复数小波变换域中的自动选择特征从脑电信号中识别运动图像运动
机译:基于双树复小波变换和机器学习算法的脑电图癫痫发作检测与分类
机译:基于子带相关的基于相关方法,用于自动检测双树复杂小波变换域中的癫痫和癫痫发作
机译:双树复小波变换在突发检测和射频指纹分类中的应用
机译:基于双树复小波变换和机器学习算法的脑电图癫痫发作检测与分类
机译:基于双树复杂小波变换和机器学习算法的EEG癫痫癫痫发作检测和分类
机译:双树复小波变换在突发检测和射频指纹分类中的应用