Publication

Dictionary learning for the sparse modelling of atrial fibrillation in ECG signals

Jean-Marc Vesin
2009
Conference Papers

Abstract

We propose a new method for ventricular cancellation and atrial modelling in the ECG of patients suffering from atrial fibrillation. Our method is based on dictionary learning. It extends both the average beat subtraction and the sparse source separation approaches. Experiments on synthetic data show that this method can almost completely suppress the ventricular activity, but it generates some artifacts. Contrary to other ventricular cancellations methods, our approach also learns a model for the atrial activity.

Official source

https://infoscience.epfl.ch/entities/publication/fb4a0954-62f3-4adc-ba20-2c07cdea725f

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Dictionary learning for the sparse modelling of atrial fibrillation in ECG signals

Chat with Graph Search

Implementation of an epicardial implantable MEMS sensor for continuous and real-time postoperative assessment of left ventricular activity in adult minipigs over a short- and long-term period

Finding information-rich electrocardiographic biomarkers to characterize atrial fibrillation

A single-beat algorithm to discriminate farfield from nearfield bipolar voltage electrograms from the pulmonary veins