Literature DB >> 9460622

Quantitative techniques for analyzing high-resolution cardiac-mapping data.

J M Rogers1, P V Bayly, R E Ideker, W M Smith.   

Abstract

Mesh:

Year:  1998        PMID: 9460622     DOI: 10.1109/51.646223

Source DB:  PubMed          Journal:  IEEE Eng Med Biol Mag        ISSN: 0739-5175


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  6 in total

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

Authors:  Jonathan C Erickson; Greg O'Grady; Peng Du; John U Egbuji; Andrew J Pullan; Leo K Cheng
Journal:  Ann Biomed Eng       Date:  2010-10-07       Impact factor: 3.934

2.  Electrophysiological heterogeneity of atrial fibrillation and local effect of propafenone in the human right atrium: analysis based on symbolic dynamics.

Authors:  A Berkowitsch; J Carlsson; A Erdogan; J Neuzner; H F Pitschner
Journal:  J Interv Card Electrophysiol       Date:  2000-06       Impact factor: 1.900

3.  A system and method for online high-resolution mapping of gastric slow-wave activity.

Authors:  Simon H Bull; Gregory O'Grady; Peng Du; Leo K Cheng
Journal:  IEEE Trans Biomed Eng       Date:  2014-05-20       Impact factor: 4.538

Review 4.  Imaging ventricular fibrillation.

Authors:  Guy Salama; Bum-Rak Choi
Journal:  J Electrocardiol       Date:  2007 Nov-Dec       Impact factor: 1.438

5.  The gastrointestinal electrical mapping suite (GEMS): software for analyzing and visualizing high-resolution (multi-electrode) recordings in spatiotemporal detail.

Authors:  Rita Yassi; Gregory O'Grady; Nira Paskaranandavadivel; Peng Du; Timothy R Angeli; Andrew J Pullan; Leo K Cheng; Jonathan C Erickson
Journal:  BMC Gastroenterol       Date:  2012-06-06       Impact factor: 3.067

6.  Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping.

Authors:  C D Cantwell; C H Roney; F S Ng; J H Siggers; S J Sherwin; N S Peters
Journal:  Comput Biol Med       Date:  2015-04-25       Impact factor: 4.589

  6 in total

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