ECGSYN: A realistic ECG waveform generator

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[French_fecgsyn] [simple case eeg]

Introduction

The FECGSYN toolbox is a reference open-source platform for NI-FECG research, product of a collaboration between the Department of Engineering Science, University of Oxford (DES-OX), the Institute of Biomedical Engineering, TU Dresden (IBMT-TUD) and the Biomedical Engineering Faculty at the Technion Israel Institute of Technology (BME-IIT). The authors are Joachim Behar (DES-OX,BME-IIT), Fernando Andreotti (IBMT-TUD), Julien Oster (DES-OX), Sebastian Zaunseder (IBMT-TUD) and Gari D. Clifford (DES-OX). For further information please visit the toolbox’s website.

The authors invite researchers contribute new algorithms or databases to this toolbox. Please refer to the documentation and information about how to contribute!

Features

How to download

All the code is freely available under the GNU GPL (General Public License).

Screenshots

From left to right: screenshots of the volume conductor with the electrodes and hearts location, the FECGSYN graphical user interface (FECGSYNGUI) and an example of FECG extraction from the abdominal mixture using the template subtraction approach.

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Referencing this work

When using FECGSYN, please reference at least one of the following articles:

Behar J., Andreotti F., Zaunseder S., Li Q., Oster J. and Clifford G D., An ECG model for simulating maternal-foetal activity mixtures on abdominal ECG recordings. Physiol Meas 35, pp.1537-50, 2014.

and/or

Andreotti F., Behar J., Zaunseder S.,Oster J. and Clifford G D., An Open-Source Framework for Stress-Testing Non-Invasive Foetal ECG Extraction Algorithms. Physiol Meas 5, pp. 627-648, 2016.

Contribute

FECGSYN is updated often. Fellow researchers and collaborators are welcome to contribute with their own code. Please refer to information about how to contribute, and to the FECGSYN GitHub repository.

History

FECGSYN is built upon the work from McSharry et al. and Sameni et al.. The original code from McSharry et al. is available in MATLAB and in C on PhysioNet (ECGSYN). The code developed by Sameni et al. is part of the OSET toolbox, also available online in MATLAB (OSET). The FECGSYN was further used in creating the FECGSYN Database.

References:

Questions and Comments

If you would like help understanding the content of this page, or using and downloading data/software, please see our Frequently Asked Questions.

If you have any comments, feedback, or particular questions regarding this page or our website, please send them to the webmaster.

Updated Monday, 9 May 2016 at 19:18 IDT

PhysioNet is supported by the National Institute of General Medical Sciences (NIGMS) and the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant number 2R01GM104987-09.