Compressed sensing for energy-efficient wireless telemonitoring of noninvasive fetal ECG via block sparse bayesian learning

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 2, 2013, Pages 300-309

  Zhang, Zhilin ^a   Jung, Tzyy Ping ^b   Makeig, Scott ^b   Rao, Bhaskar D ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Block sparse Bayesian learning (BSBL); compressed sensing (CS); fetal ECG (FECG); healthcare; independent component analysis (ICA); telemedicine; telemonitoring

Indexed keywords

CODE EXECUTION; COMPRESSION STAGES; COMPRESSIVE SENSING; ENERGY EFFICIENT; FETAL ECG; HIGH QUALITY; LOW ENERGY CONSUMPTION; MULTI-CHANNEL RECORDING; NOISE CONTAMINATION; NONZERO ENTRIES; SPARSE BAYESIAN LEARNING; TELE-MONITORING; TELEMONITORING SYSTEMS; WAVELET ALGORITHMS; WIRELESS BODY AREA NETWORK;

ALGORITHMS; DATA COMPRESSION; ELECTROCARDIOGRAPHY; ENERGY UTILIZATION; HEALTH CARE; INDEPENDENT COMPONENT ANALYSIS; SIGNAL RECONSTRUCTION;

TELEMEDICINE;

ALGORITHM; ARTICLE; BAYESIAN LEARNING; FETUS ELECTROCARDIOGRAPHY; MULTICHANNEL RECORDER; SIGNAL NOISE RATIO; TELEMONITORING;

ALGORITHMS; BAYES THEOREM; DATABASES, FACTUAL; ELECTROCARDIOGRAPHY; FEMALE; FETAL MONITORING; HUMANS; PREGNANCY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SIGNAL-TO-NOISE RATIO; TELEMEDICINE; WIRELESS TECHNOLOGY;

EID: 84872519432     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2226175     Document Type: Article

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