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

Cantwell, Chris D.; Roney, Caroline; Ng, Fu Siong; Siggers, Jennifer H.; Sherwin, Spencer J.; Peters, Nicholas S.

doi:10.1016/j.compbiomed.2015.04.027

Cited by 164 publications

(142 citation statements)

References 121 publications

Supporting

Mentioning

137

Contrasting

Order By: Relevance

“…1, showing those steps that are common to both signal modalities and those in which unipolar and bipolar signals are treated differently. Typically, unipolar electrogram activation is defined as the location of maximum negative gradient, while bipolar activation definitions vary and include the location of maximum amplitude 6. With this motivation, equivalent analyses were performed on the unipolar electrogram derivative and on bipolar electrogram signals.…”

Section: Methodsmentioning

confidence: 99%

Rotor Tracking Using Phase of Electrograms Recorded During Atrial Fibrillation

et al. 2016

View full text Add to dashboard Cite

Extracellular electrograms recorded during atrial fibrillation (AF) are challenging to interpret due to the inherent beat-to-beat variability in amplitude and duration. Phase mapping represents these voltage signals in terms of relative position within the cycle, and has been widely applied to action potential and unipolar electrogram data of myocardial fibrillation. To date, however, it has not been applied to bipolar recordings, which are commonly acquired clinically. The purpose of this study is to present a novel algorithm for calculating phase from both unipolar and bipolar electrograms recorded during AF. A sequence of signal filters and processing steps are used to calculate phase from simulated, experimental, and clinical, unipolar and bipolar electrograms. The algorithm is validated against action potential phase using simulated data (trajectory centre error <0.8 mm); between experimental multi-electrode array unipolar and bipolar phase; and for wavefront identification in clinical atrial tachycardia. For clinical AF, similar rotational content (R 2 = 0.79) and propagation maps (median correlation 0.73) were measured using either unipolar or bipolar recordings. The algorithm is robust, uses standard signal processing techniques, and accurately quantifies AF wavefronts and sources. Identifying critical sources, such as rotors, in AF, may allow for more accurate targeting of ablation therapy and improved patient outcomes.Electronic supplementary materialThe online version of this article (doi:10.1007/s10439-016-1766-4) contains supplementary material, which is available to authorized users.

show abstract

Section: Methodsmentioning

confidence: 99%

Rotor Tracking Using Phase of Electrograms Recorded During Atrial Fibrillation

et al. 2016

View full text Add to dashboard Cite

show abstract

“…In addition, whether sympathoexcitation-mediated changes in the peri-infarct zone are prevented by ␤-blockade was not studied. While there is agreement on the use of local EGMs to estimate local activation (8), the use of the activation recovery interval to Fig. 8.…”

Section: Discussionmentioning

confidence: 99%

Sympathetic modulation of electrical activation in normal and infarcted myocardium: implications for arrhythmogenesis

Ajijola

Lux

Khahera

et al. 2017

American Journal of Physiology-Heart and Circulatory Physiology

View full text Add to dashboard Cite

The influence of cardiac sympathetic innervation on electrical activation in normal and chronically infarcted ventricular myocardium is not understood. Yorkshire pigs with normal hearts (NL, n ϭ 12) or anterior myocardial infarction (MI, n ϭ 9) underwent high-resolution mapping of the anteroapical left ventricle at baseline and during left and right stellate ganglion stimulation (LSGS and RSGS, respectively). Conduction velocity (CV), activation times (ATs), and directionality of propagation were measured. Myocardial fiber orientation was determined using diffusion tensor imaging and histology. Longitudinal CV (CV L) was increased by RSGS (0.98 Ϯ 0.11 vs. 1.2 Ϯ 0.14m/s, P Ͻ 0.001) but not transverse CV (CV T). This increase was abrogated by ␤-adrenergic receptor and gap junction (GJ) blockade. Neither CV L nor CVT was increased by LSGS. In the peri-infarct region, both RSGS and LSGS shortened ARIs in sinus rhythm (423 Ϯ 37 vs. 322 Ϯ 30 ms, P Ͻ 0.001, and 423 Ϯ 36 vs. 398 Ϯ 36 ms, P ϭ 0.035, respectively) and altered activation patterns in all animals. CV, as estimated by mean ATs, increased in a directionally dependent manner by RSGS (14.6 Ϯ 1.2 vs. 17.3 Ϯ 1.6 ms, P ϭ 0.015), associated with GJ lateralization. RSGS and LSGS inhomogeneously modulated AT and induced relative or absolute functional activation delay in parts of the mapped regions in 75 and 67%, respectively, in MI animals, and in 0 and 15%, respectively, in control animals (P Ͻ 0.001 for both). In conclusion, sympathoexcitation increases CV in normal myocardium and modulates activation propagation in peri-infarcted ventricular myocardium. These data demonstrate functional control of arrhythmogenic periinfarct substrates by sympathetic nerves and in part explain the temporal nature of arrhythmogenesis.

show abstract

“…This may stipulate the remapping of potential rotor sites using other approaches for confirmation. The three-dimensional structure of the atria and distribution of measurements represent important aspects in various processing techniques [13, 25–27]. …”

Section: Discussionmentioning

confidence: 99%

Basket-Type Catheters: Diagnostic Pitfalls Caused by Deformation and Limited Coverage

Oesterlein

Frisch

Loewe

et al. 2016

BioMed Research International

View full text Add to dashboard Cite

Whole-chamber mapping using a 64-pole basket catheter (BC) has become a featured approach for the analysis of excitation patterns during atrial fibrillation. A flexible catheter design avoids perforation but may lead to spline bunching and influence coverage. We aim to quantify the catheter deformation and endocardial coverage in clinical situations and study the effect of catheter size and electrode arrangement using an in silico basket model. Atrial coverage and spline separation were evaluated quantitatively in an ensemble of clinical measurements. A computational model of the BC was implemented including an algorithm to adapt its shape to the atrial anatomy. Two clinically relevant mapping positions in each atrium were assessed in both clinical and simulated data. The simulation environment allowed varying both BC size and electrode arrangement. Results showed that interspline distances of more than 20 mm are common, leading to a coverage of less than 50% of the left atrial (LA) surface. In an ideal in silico scenario with variable catheter designs, a maximum coverage of 65% could be reached. As spline bunching and insufficient coverage can hardly be avoided, this has to be taken into account for interpretation of excitation patterns and development of new panoramic mapping techniques.

show abstract

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

Cited by 164 publications

References 121 publications

Rotor Tracking Using Phase of Electrograms Recorded During Atrial Fibrillation

Rotor Tracking Using Phase of Electrograms Recorded During Atrial Fibrillation

Sympathetic modulation of electrical activation in normal and infarcted myocardium: implications for arrhythmogenesis

Basket-Type Catheters: Diagnostic Pitfalls Caused by Deformation and Limited Coverage

Contact Info

Product

Resources

About