首页> Computer methods and programs in biomedicine> Effective epileptic seizure detection by using level-crossing EEG sampling sub-bands statistical features selection and machine learning for mobile healthcare.

Effective epileptic seizure detection by using level-crossing EEG sampling sub-bands statistical features selection and machine learning for mobile healthcare.

导出 LinkOut

翻译打印收藏纠错

第一作者： Saeed Mian,Qaisar

第一单位： Electrical and Computer Engineering Department, Effat University, Jeddah, 22332, KSA; Communication & Signal Processing Lab, Energy & Technology Cenetr, Effat University, Jeddah, 22332, KSA. Electronic address: sqaisar@effatuniversity.edu.sa.

作者： Saeed Mian,Qaisar ^[1] ; Syed Fawad,Hussain ^[2]

作者单位： Electrical and Computer Engineering Department, Effat University, Jeddah, 22332, KSA; Communication & Signal Processing Lab, Energy & Technology Cenetr, Effat University, Jeddah, 22332, KSA. Electronic address: sqaisar@effatuniversity.edu.sa. ^[1] Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Pakistan; Machine Learning and Data Science (MDS) lab, GIK Institute, Topi. Electronic address: fawadhussain@giki.edu.pk. ^[2]

关键词 Adaptive-Rate Processing Classification Compression Computational complexity Dimension reduction Electroencephalogram (EEG)Information Gain Level-Crossing Sampling Machine learning Mobile healthcare Statistical features extraction Wavelet transform