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Arrhythmia Diagnosis by Using Level-Crossing ECG Sampling and Sub-Bands Features Extraction for Mobile Healthcare.

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第一作者： Saeed,Mian Qaisar

第一单位： College of Engineering, Effat University, Jeddah 22332, Saudi Arabia.

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

作者单位： College of Engineering, Effat University, Jeddah 22332, Saudi Arabia. ^[1] Machine Learning and Data Science Lab, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi 23460, Pakistan. ^[2]

关键词 adaptive-rate processing arrhythmia classification compression electrocardiogram (ECG)hysteresis level-crossing sampling machine learning mobile healthcare sub-bands features extraction wavelet decomposition

医学主题词算法(Algorithms);心律失常, 心性(Arrhythmias, Cardiac);数据库, 事实型(Databases, Factual);卫生保健提供(Delivery of Health Care);心电描记术(Electrocardiography);人类(Humans);信号处理, 计算机辅助(Signal Processing, Computer-Assisted);小波分析(Wavelet Analysis)

DOI 10.3390/s20082252

PMID 32316133

发布时间 2021-02-22

基金项目

UC#7/28Feb 2018/10.2-44g/Effat University

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Sensors (Basel, Switzerland)

2020年20卷8期

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Arrhythmia Diagnosis by Using Level-Crossing ECG Sampling and Sub-Bands Features Extraction for Mobile Healthcare.

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Arrhythmia Diagnosis by Using Level-Crossing ECG Sampling and Sub-Bands Features Extraction for Mobile Healthcare.

Sensors (Basel, Switzerland)

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