Predicting tissue conductivity influences on body surface potentials-An efficient approach based on principal component analysis

IEEE Transactions on Biomedical Engineering

Volumn 58, Issue 2, 2011, Pages 265-273

  Weber, Frank M ^a   Keller, David U J ^a   Bauer, Stefan ^b   Seemann, Gunnar ^a   Lorenz, Cristian ^c   Dössel, Olaf ^a  

^a KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

^b UNIVERSITY OF BERN   (Switzerland)

^c PHILIPS RESEARCH LABORATORIES   (Germany)

Author keywords

Body surface potential map (BSPM) prediction; conductivity uncertainties; electrocardiographic forward problem; principal component analysis (PCA)

Indexed keywords

BODY SURFACE POTENTIAL MAPS; CO-ORDINATE SYSTEM; CONDUCTIVITY UNCERTAINTIES; CONDUCTIVITY VARIATION; CONFIDENCE INTERVAL; DEFAULT VALUES; EFFICIENT METHOD; EIGENVECTORS; ELECTROCARDIOGRAPHIC FORWARD PROBLEM; NUMERICAL OPTIMIZATIONS; ON-BODY; PRINCIPAL COMPONENT ANALYSIS (PCA); SAMPLE SIMULATIONS; SKELETAL MUSCLE; TISSUE CONDUCTIVITY;

EIGENVALUES AND EIGENFUNCTIONS; ESTIMATION; FINANCIAL DATA PROCESSING; FORECASTING; SURFACE POTENTIAL; SURFACE PROPERTIES; TISSUE; UNCERTAINTY ANALYSIS;

PRINCIPAL COMPONENT ANALYSIS;

ARTICLE; BLOOD; BODY FAT; BODY SURFACE POTENTIAL; COMPUTER SIMULATION; CONDUCTANCE; LUNG; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; RETROSPECTIVE STUDY; SKELETAL MUSCLE; TISSUE CHARACTERIZATION;

ALGORITHMS; BODY SURFACE POTENTIAL MAPPING; ELECTRIC CONDUCTIVITY; HUMANS; MALE; MODELS, BIOLOGICAL; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; VISIBLE HUMAN PROJECTS;

EID: 79551567091     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2010.2090151     Document Type: Article

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