RESUMO
AIMS: Identification in situ of arrhythmogenic mechanisms could improve the rate of ablation success in atrial fibrillation (AF). Our research group reported that rotors could be located through dynamic approximate entropy (DApEn) maps. However, it is unknown how much the spatial resolution of catheter electrodes could affect substrates localization. The present work looked for assessing the electrograms (EGMs) spatial resolution needed to locate the rotor tip using DApEn maps. METHODS AND RESULTS: A stable rotor in a two-dimensional computational model of human atrial tissue was simulated using the Courtemanche electrophysiological model and implementing chronic AF features. The spatial resolution is 0.4 mm (150 × 150 EGM). Six different lower resolution arrays were obtained from the initial mesh. For each array, DApEn maps were constructed using the inverse distance weighting (IDW) algorithm. Three simple ablation patterns were applied. The full DApEn map detected the rotor tip and was able to follow the small meander of the tip through the shape of the area containing the tip. Inverse distance weighting was able to reconstruct DApEn maps after applying different spatial resolutions. These results show that spatial resolutions from 0.4 to 4 mm accurately detect the rotor tip position. An ablation line terminates the rotor only if it crosses the tip and ends at a tissue boundary. CONCLUSION: A previous work has shown that DApEn maps successfully detected simulated rotor tips using a high spatial resolution. In this work, it was evinced that DApEn maps could be applied using a spatial resolution similar to that available in commercial catheters, by adding an interpolation stage. This is the first step to translate this tool into medical practice with a view to the detection of ablation targets.
Assuntos
Fibrilação Atrial/fisiopatologia , Fibrilação Atrial/cirurgia , Mapeamento Potencial de Superfície Corporal/métodos , Modelos Cardiovasculares , Cirurgia Assistida por Computador/métodos , Fibrilação Atrial/diagnóstico , Ablação por Cateter/métodos , Doença Crônica , Simulação por Computador , Feminino , Átrios do Coração/fisiopatologia , Sistema de Condução Cardíaco/fisiopatologia , Sistema de Condução Cardíaco/cirurgia , Humanos , Masculino , Reprodutibilidade dos Testes , Sensibilidade e Especificidade , Resultado do TratamentoRESUMO
La fibrilación auricular (FA) es la arritmia más común en la práctica clínica y por la que más se consulta en los servicios médicos. Recientemente, se ha propuesto un mecanismo de mantenimiento de la FA, el cual consiste en la existencia de uno o varios rotores que activan el tejido a alta frecuencia. La ablación es uno de los tratamientos para la FA, en FA crónica son necesarios patrones de ablación complejos, por lo que actualmente se busca el patrón ideal con un mínimo número de líneas de ablación. En este trabajo se simula la actividad de un rotor en un modelo 2D de tejido auricular humano, bajo condiciones de FA crónica y se localiza su centro de giro (tip). Se proponen y evalúan seis diferentes patrones simples de ablación compuestos por un número reducido de líneas. El estudio demostró que aquellos patrones que atraviesan o encierran el tip del rotor y que adicionalmente se prolongan hasta una frontera de conducción son eficaces en la terminación del rotor.
Atrial fibrillation (AF) is the most common arrhythmia in clinical practice and the most consulted in medical services. Recently it has been proposed a mechanism for maintaining the AF, which consists in one or more rotors activating the tissue at high frequency. Ablation is one of the treatments for AF, for chronic AF is needed complex ablation patterns, so currently it has been looking for an ideal pattern with a minimum number of ablation lines. In this work activity of a rotor was simulated in a 2D model of human atrial tissue, under chronic AF conditions, and the center of rotation (tip) was located. Six different simple ablation patterns composed of a limited number of lines were proposed and evaluated. The study showed that those patterns that passed through or encloses the tip of the rotor and additionally were extended to a conduction boundary are effective in the termination of the rotor.
A fibrilação atrial (FA) é a arritmia mais comum na prática clínica e na consulta que a maioria dos serviços médicos. Recentemente, é proposto um mecanismo para a manutenção da FA, que é a existência de um ou mais rotores que activam o tecido com elevada frequência. A ablação é um tratamento para fibrilação atrial em padrões crônicos de ablação de FA necessárias são complexas, por isso eles estão atualmente buscando o padrão ideal, com um número mínimo de linhas de ablação. Neste documento, a actividade de um rotor é simulada em um modelo em 2D do tecido atrial humano, sob condições de AF crónica e o seu centro de rotação (ponta) está localizado. São propostos e avaliados seis diferentes padrões de ablação individuais compostos de um pequeno número de linhas. O estudo mostrou que as que passam através de padrões ou encerram a ponta do rotor e se estendem para além de um limite de condução são eficazes na cessação do rotor.
RESUMO
This paper presents a dimensionality reduction study based on fuzzy rough sets with the aim of increasing the discriminant capability of the representation of normal ECG beats and those that contain ischemic events. A novel procedure is proposed to obtain the fuzzy equivalence classes based on entropy and neighborhood techniques and a modification of the Quick Reduct Algorithm is used to select the relevant features from a large feature space by a dependency function. The tests were carried out on a feature space made up by 840 wavelet features extracted from 900 ECG normal beats and 900 ECG beats with evidence of ischemia. Results of around 99% classification accuracy are obtained. This methodology provides a reduced feature space with low complexity and high representation capability. Additionally, the discriminant strength of entropy in terms of representing ischemic disorders from time-frequency information in ECG signals is highlighted.