Multirate Processing with Selective Subbands and Machine Learning for Efficient Arrhythmia Classification.

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作者： Saeed Mian,Qaisar ^[1] ; Alaeddine,Mihoub ^[2] ; Moez,Krichen ^[3] ; Humaira,Nisar ^[4]

作者单位： College of Engineering, Effat University, Jeddah 21478, Saudi Arabia. ^[1] Communication & Signal processing Lab, Energy and Technology Centre, Effat University, Jeddah 21478, Saudi Arabia. ^[2] Department of Management Information System and Production Management, College of Business and Economics, Qassim University, P.O. Box 6640, Buraidah 51452, Saudi Arabia. ^[3] Faculty of CSIT, Al-Baha University, Al-Baha 65731, Saudi Arabia. ^[4] ReDCAD Laboratory, University of Sfax, Sfax 3029, Tunisia. ^[5] Department of Electronic Engineering, Faculty of Engineering and Green Technology, Universiti Tunku Abdul Rahman, Kampar 31900, Malaysia. ^[6] Centre for Healthcare Science and Technology, Universiti Tunku Abdul Rahman, Kajang 43000, Malaysia. ^[7]

关键词 classification compression computational complexity electrocardiogram (ECG)machine learning mobile healthcare multirate processing selective subband coefficients wavelet decomposition

主题词算法(Algorithms);心律失常, 心性(Arrhythmias, Cardiac);数据压缩(Data Compression);心电描记术(Electrocardiography);人类(Humans);信号处理, 计算机辅助(Signal Processing, Computer-Assisted)

DOI 10.3390/s21041511

PMID 33671583

发布时间 2021-03-15

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准确一般字义偏差语意偏离译文作用小提交