Noninvasive functional imaging of volumetric cardiac electrical activity: A human study on myocardial infarction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5241 LNCS, Issue PART 1, 2008, Pages 1042-1050

  Wang, Linwei ^a   Wong, Ken C L ^a   Zhang, Heye ^b   Shi, Pengcheng ^a  

^a Rochester Institute of Technology   (United States)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE MYOCARDIAL INFARCTION; BODY SURFACE POTENTIALS; CARDIAC ARRHYTHMIA; CARDIAC ELECTRICAL ACTIVITY; ELECTRICAL ACTIVITIES; FUNCTIONAL IMAGING; HEART SURFACE; HUMAN STUDY; MYOCARDIAL INFARCTION; NON-INVASIVE IMAGING; TRANSMEMBRANE POTENTIALS;

BIOELECTRIC POTENTIALS; COMPUTER SCIENCE; IMAGING TECHNIQUES; THREE DIMENSIONAL;

MEDICAL COMPUTING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; ELECTROCARDIOGRAPHY; HEART INFARCTION; HEART MUSCLE CONDUCTION SYSTEM; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; PATHOLOGY; PATHOPHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BODY SURFACE POTENTIAL MAPPING; COMPUTER SIMULATION; HEART CONDUCTION SYSTEM; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, CARDIOVASCULAR; MYOCARDIAL INFARCTION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84883847548     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85988-8_124     Document Type: Conference Paper

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