Automated gastric slow wave cycle partitioning and visualization for high-resolution activation time maps

Annals of Biomedical Engineering

Volumn 39, Issue 1, 2011, Pages 469-483

  Erickson, Jonathan C ^a   O'Grady, Greg ^b,c   Du, Peng ^b   Egbuji, John U ^b,c   Pullan, Andrew J ^b,c,d   Cheng, Leo K ^b  

^a WASHINGTON AND LEE UNIVERSITY   (United States)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

^c UNIVERSITY OF AUCKLAND   (New Zealand)

^d VANDERBILT UNIVERSITY   (United States)

Author keywords

Activation map; Automated detection; Cycle partitioning; Gastric electrical activity; High resolution mapping

Indexed keywords

ACTIVATION MAP; AUTOMATED DETECTION; CYCLE PARTITIONING; GASTRIC ELECTRICAL ACTIVITIES; HIGH-RESOLUTION MAPPING;

ALGORITHMS; CONFORMAL MAPPING; DATA HANDLING; VISUALIZATION;

AUTOMATION;

ALGORITHM; ANIMAL; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; ELECTROMYOGRAPHY; METHODOLOGY; MIGRATING MYOELECTRIC COMPLEX; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SWINE;

ALGORITHMS; ANIMALS; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROMYOGRAPHY; MYOELECTRIC COMPLEX, MIGRATING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SWINE;

EID: 78650921535     PISSN: 00906964     EISSN: 15739686     Source Type: Journal    
DOI: 10.1007/s10439-010-0170-8     Document Type: Article

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