Characterisation of electrophysiological conduction in cardiomyocyte co-cultures using co-occurrence analysis

Computer Methods in Biomechanics and Biomedical Engineering

Volumn 16, Issue 2, 2013, Pages 185-197

  Chen, Michael Q ^a   Wong, Jonathan ^a   Kuhl, Ellen ^a   Giovangrandi, Laurent ^a   Kovacs, Gregory T A ^a  

^a Stanford University   (United States)

Author keywords

cardiomyocytes; electrophysiology; finite element method; microelectrode arrays; pattern recognition; texture analysis

Indexed keywords

3T3 FIBROBLASTS; ALGORITHMIC METHODS; CARDIAC ARRHYTHMIA; CARDIOMYOCYTES; CO-CULTURE SYSTEM; CO-CULTURES; CO-OCCURRENCE; CO-OCCURRENCE ANALYSIS; CONDUCTION PATTERNS; ELECTRICAL CONDUCTION; ELECTRICALLY ACTIVES; EXCITATION WAVES; FEATURE RECOGNITION; HUMAN EYE; IN-SILICO; IN-VITRO; MICROELECTRODE ARRAY; PRELIMINARY STUDIES; PROOF OF PRINCIPLES; QUANTITATIVE FEATURES; QUANTITATIVE INFORMATION; SIGNAL PROPAGATION; STEM CELL THERAPY; TEXTURE ANALYSIS;

CELL CULTURE; FIBROBLASTS; FINITE ELEMENT METHOD; PATTERN RECOGNITION; STEM CELLS; TEXTURES;

ELECTROPHYSIOLOGY;

ALGORITHM; ANIMAL; ARTICLE; CELL LINE; COCULTURE; FINITE ELEMENT ANALYSIS; HEART ARRHYTHMIA; HEART MUSCLE CELL; HUMAN; IN VITRO STUDY; MICROELECTRODE; MOUSE; PATHOPHYSIOLOGY; PHYSIOLOGY;

ALGORITHMS; ANIMALS; ARRHYTHMIAS, CARDIAC; CELL LINE; COCULTURE TECHNIQUES; FINITE ELEMENT ANALYSIS; HUMANS; MICE; MICROELECTRODES; MYOCYTES, CARDIAC;

MLCS; MLOWN;

EID: 84873935060     PISSN: 10255842     EISSN: 14768259     Source Type: Journal    
DOI: 10.1080/10255842.2011.615310     Document Type: Article

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