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A Fast and Robust Non-Sparse Signal Recovery Algorithm for Wearable ECG Telemonitoring Using ADMM-Based Block Sparse Bayesian Learning.

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第一作者： Yunfei,Cheng

第一单位： School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. yunfeicheng@hotmail.com.

作者： Yunfei,Cheng ^[1] ; Yalan,Ye ^[2] ; Mengshu,Hou ^[3] ; Wenwen,He ^[4] ; Yunxia,Li ^[5] ; Xuesong,Deng ^[6]

作者单位： School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. yunfeicheng@hotmail.com. ^[1] School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. yalanye@uestc.edu.cn. ^[2] School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. mshou@uestc.edu.cn. ^[3] School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. hwwuestc@gmail.com. ^[4] School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. yunxiali@uestc.edu.cn. ^[5] School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. yingkesongsxd@gmail.com. ^[6]

关键词 alternating direction method of multipliers (ADMM)block sparse Bayesian learning (BSBL)compressed sensing (CS)electrocardiogram (ECG)wireless body area networks (WBAN)

主题词算法(Algorithms);贝叶斯定理(Bayes Theorem);心电描记术(Electrocardiography);人类(Humans);遥测术(Telemetry);时间因素(Time Factors);无线技术(Wireless Technology)

DOI 10.3390/s18072021

PMID 29937512

发布时间 2018-12-11

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