Localization of Activation Origin on Patient-Specific Endocardial Surface by the Equivalent Double Layer (EDL) Source Model with Sparse Bayesian Learning

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064165%3A_____%2F19%3A10391185" target="_blank" >RIV/00064165:_____/19:10391185 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11110/19:10391185

Result on the web

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=R1O4N4tFjZ" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=R1O4N4tFjZ</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TBME.2018.2887041" target="_blank" >10.1109/TBME.2018.2887041</a>

Result language

angličtina

Original language name

Localization of Activation Origin on Patient-Specific Endocardial Surface by the Equivalent Double Layer (EDL) Source Model with Sparse Bayesian Learning

Original language description

Objective: Ablation treatment of ventricular arrhythmias can be facilitated by pre-procedure planning aided by electrocardiographic inverse solution, which can help to localize the origin of arrhythmia. Our aim was to improve localization accuracy of the inverse solution for activation originating on the left-ventricular endocardial surface, by using a sparse Bayesian learning (SBL). Methods: The inverse problem of electrocardiography was solved by reconstructing endocardial potentials from time-integrals of body-surface electrocardiograms and from patient-specific geometry of the heart and torso for 3 patients with structurally normal ventricular myocardium, who underwent endocardial catheter mapping which included pace-mapping. Complementary simulations using dipole sources in patient-specific geometry were also performed. The proposed method is using sparse property of the equivalent-double-layer (EDL) model of cardiac sources and employs the SBL and makes use of the spatio-temporal features of the cardiac action potentials. Results: The mean localization error of the proposed method for pooled pacing sites (n = 52) was significantly better (p = 0.0039) than that achieved for the same patients in the previous study. Simulation experiments localized the source dipoles (n = 48) from forward-simulated potentials with the error of 9.4 x 4.5 mm (mean x SD). Conclusion: The results of our clinical and simulation experiments demonstrate that localization of left-ventricular endocardial activation by means of the Bayesian approach based on sparse representation of sources by EDL is feasible and accurate. Significance: The proposed approach to localizing endocardial sources may have important applications in pre-procedure assessment of arrhythmias and in guiding their ablation treatment.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30201 - Cardiac and Cardiovascular systems

Project

—

Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IEEE Transactions on Biomedical Engineering

ISSN

0018-9294

e-ISSN

—

Volume of the periodical

66

Issue of the periodical within the volume

8

Country of publishing house

US - UNITED STATES

Number of pages

9

Pages from-to

2287-2295

UT code for WoS article

000476773700016

EID of the result in the Scopus database

2-s2.0-85058876537