A novel neural-network model for deriving standard 12-lead ECGs from serial three-lead ECGs: Application to self-care

IEEE Transactions on Information Technology in Biomedicine

Volumn 14, Issue 3, 2010, Pages 883-890

  Atoui, Hussein ^a   Fayn, Jocelyne ^a   Rubel, Paul ^a  

^a UNIVERSITÉ LYON 1   (France)

Author keywords

Acute ischemia; Arrhythmia; ECG; EHealth; Embedded computing; Neural networks; Self care

Indexed keywords

ARRHYTHMIA; ECG RECORDING; EHEALTH; EMBEDDED COMPUTING; HOME CARE; NON LINEAR RECONSTRUCTION; P-VALUES; QUANTITATIVE LEVEL; REGRESSION-BASED MODEL; SELF-CARE;

ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; INTENSIVE CARE UNITS; PATIENT MONITORING; WAVELET TRANSFORMS;

NEURAL NETWORKS;

AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; ELECTROCARDIOGRAPHY; FEMALE; HUMAN; MALE; METHODOLOGY; MIDDLE AGED; REPRODUCIBILITY; SIGNAL PROCESSING; STATISTICAL MODEL;

AGED; ELECTROCARDIOGRAPHY; FEMALE; HUMANS; LINEAR MODELS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 77953145769     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2010.2047754     Document Type: Article

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