Literature DB >> 33937428

Novel Experimental Preparation to Assess Electrocardiographic Imaging Reconstruction Techniques.

Jake A Bergquist1,2,3, Brian Zenger1,2,3,4, Wilson W Good1,2,3, Lindsay C Rupp1,2,3, Laura R Bear5, Rob S MacLeod1,2,3,4.   

Abstract

Electrocardiographic imaging (ECGI) systems are still plagued by a myriad of controllable and uncontrollable sources of error, which makes studying and improving these systems difficult. To mitigate these errors, we developed a novel experimental preparation using a rigid pericardiac cage suspended in a torso-shaped electrolytic tank. The 256-electrode cage was designed to record signals 0.5-1.0 cm above the entire epicardial surface of an isolated heart. The cage and heart were fixed in a 192-electrode torso tank filled with electrolyte with predetermined conductivity. The resulting signals served as ground truth for ECGI performed using the boundary element method (BEM) and method of fundamental solutions (MFS) with three regularization techniques: Tikhonov zero-order (Tik0), Tikhonov second-order (Tik2), truncated singular value decomposition (TSVD). Each ECGI regularization technique reconstructed cage potentials from recorded torso potentials well with spatial correlation above 0.7, temporal correlation above 0.8, and root mean squared error values below 0.7 mV. The earliest site of activation was best identified by MFS using Tik0, which localized it to within a range of 1.9 and 4.8 cm. Our novel experimental preparation has shown unprecedented agreement with simulations and represents a new standard for ECGI validation studies.

Entities:  

Year:  2021        PMID: 33937428      PMCID: PMC8082331          DOI: 10.22489/cinc.2020.458

Source DB:  PubMed          Journal:  Comput Cardiol (2010)        ISSN: 2325-887X


  7 in total

1.  Mechanisms of the spatial distribution of QT intervals on the epicardial and body surfaces.

Authors:  B B Punske; R L Lux; R S MacLeod; M S Fuller; P R Ershler; T J Dustman; Y Vyhmeister; B Taccardi
Journal:  J Cardiovasc Electrophysiol       Date:  1999-12

2.  Forward problem of electrocardiography: is it solved?

Authors:  Laura R Bear; Leo K Cheng; Ian J LeGrice; Gregory B Sands; Nigel A Lever; David J Paterson; Bruce H Smaill
Journal:  Circ Arrhythm Electrophysiol       Date:  2015-04-01

3.  A toolkit for forward/inverse problems in electrocardiography within the SCIRun problem solving environment.

Authors:  Brett M Burton; Jess D Tate; Burak Erem; Darrell J Swenson; Dafang F Wang; Michael Steffen; Dana H Brooks; Peter M van Dam; Rob S Macleod
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

4.  PFEIFER: Preprocessing Framework for Electrograms Intermittently Fiducialized from Experimental Recordings.

Authors:  Anton Rodenhauser; Wilson W Good; Brian Zenger; Jess Tate; Kedar Aras; Brett Burton; Rob S MacLeod
Journal:  J Open Source Softw       Date:  2018

5.  Tracking the Position of the Heart From Body Surface Potential Maps and Electrograms.

Authors:  Jaume Coll-Font; Dana H Brooks
Journal:  Front Physiol       Date:  2018-12-03       Impact factor: 4.566

Review 6.  Validation and Opportunities of Electrocardiographic Imaging: From Technical Achievements to Clinical Applications.

Authors:  Matthijs Cluitmans; Dana H Brooks; Rob MacLeod; Olaf Dössel; María S Guillem; Peter M van Dam; Jana Svehlikova; Bin He; John Sapp; Linwei Wang; Laura Bear
Journal:  Front Physiol       Date:  2018-09-20       Impact factor: 4.566

7.  Optimizing the Reconstruction of Cardiac Potentials Using a Novel High Resolution Pericardiac Cage.

Authors:  Jake A Bergquist; Wilson W Good; Brian Zenger; Jess D Tate; Rob S MacLeod
Journal:  Comput Cardiol (2010)       Date:  2020-02-24
  7 in total
  2 in total

1.  Body Surface Potential Mapping: Contemporary Applications and Future Perspectives.

Authors:  Jake Bergquist; Lindsay Rupp; Brian Zenger; James Brundage; Anna Busatto; Rob S MacLeod
Journal:  Hearts (Basel)       Date:  2021-11-05

2.  Reconstruction of cardiac position using body surface potentials.

Authors:  Jake A Bergquist; Jaume Coll-Font; Brian Zenger; Lindsay C Rupp; Wilson W Good; Dana H Brooks; Rob S MacLeod
Journal:  Comput Biol Med       Date:  2022-01-20       Impact factor: 4.589

  2 in total

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