Compressed sensing of EEG for wireless telemonitoring with low energy consumption and inexpensive hardware

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 1, 2013, Pages 221-224

  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); electroencephalogram (EEG); healthcare; telemonitoring; wireless body area network (WBAN)

Indexed keywords

CLINICAL DIAGNOSIS; COMPRESSIVE SENSING; ENGINEERING APPLICATIONS; LOW ENERGY CONSUMPTION; PERSONALIZED MEDICINES; PHYSIOLOGICAL SIGNALS; RECOVERY QUALITY; SPARSE BAYESIAN LEARNING; TELE-MONITORING; TIME DOMAIN; TRANSFORMED DOMAIN; WAVELET DOMAIN; WIRELESS BODYAREA NETWORK (WBAN);

ALGORITHMS; DATA COMPRESSION; ENERGY UTILIZATION; HEALTH CARE; SIGNAL RECONSTRUCTION;

ELECTROENCEPHALOGRAPHY;

ALGORITHM; ARTICLE; ELECTROENCEPHALOGRAPHY; ENERGY CONSUMPTION; HUMAN; TELEMONITORING; WIRELESS COMMUNICATION;

ALGORITHMS; BAYES THEOREM; DATABASES, FACTUAL; ELECTROENCEPHALOGRAPHY; HUMANS; REMOTE SENSING TECHNOLOGY; SIGNAL PROCESSING, COMPUTER-ASSISTED; TELEMEDICINE; WIRELESS TECHNOLOGY;

EID: 84871778286     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2217959     Document Type: Article

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