ECGSYN - A realistic ECG waveform generator 1.0.0

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<H1 ALIGN="CENTER">A dynamical model for generating synthetic electrocardiogram signals</H1>
<P ALIGN="CENTER"><STRONG>Patrick E. McSharry<IMG
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Lionel Tarassenko<IMG
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<p>
This article originally appeared in <em>IEEE Transactions on Biomedical
Engineering</em>, <b>50</b>(3):289-294; March 2003.  Please cite this
publication when referencing this material.
<p>
(C)2002 IEEE. Personal use of this material is permitted. However, permission
to reprint/republish this material for advertising or promotional purposes or
for creating new collective works for resale or redistribution to servers or
lists, or to reuse any copyrighted component of this work in other works must
be obtained from the IEEE. This material is presented to ensure timely
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are retained by authors or by other copyright holders. All persons copying this
information are expected to adhere to the terms and constraints invoked by each
author's copyright. In most cases, these works may not be reposted without the
explicit permission of the copyright holder.
<p>
Software that implements the model described in this paper is freely available
<a href="../">here</a>.
</td></tr>
</table></center>

<H3>Abstract:</H3>
<DIV>
A dynamical model based on three coupled ordinary differential equations 
is introduced which is capable of generating realistic synthetic 
electrocardiogram (ECG) signals.  The operator can specify the mean and 
standard deviation of the heart rate, the morphology of the PQRST 
cycle and the power spectrum of the RR tachogram.  
In particular, both Respiratory Sinus Arrhythmia at the high frequencies
(HF) and Mayer waves at the low frequencies (LF) 
together with the LF/HF ratio are incorporated in the model. 
Much of the beat-to-beat variation in morphology and timing of the human 
ECG, including QT dispersion and R-peak amplitude modulation 
are shown to result. This model may be employed to assess biomedical 
signal processing techniques which are used to compute clinical statistics 
from the ECG. 
</DIV>
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Dynamical model, synthetic ECG, QRS morphology, Respiratory si...
... Heart rate variability, RR tachogram, RR-interval, QT-interval.
\end{keywords}">
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<UL>
<LI><A NAME="tex2html18"
  HREF="node1.html">Introduction</A>
<LI><A NAME="tex2html19"
  HREF="node2.html">ECG morphology</A>
<LI><A NAME="tex2html20"
  HREF="node3.html">Heart rate variability</A>
<LI><A NAME="tex2html21"
  HREF="node4.html">The dynamical model</A>
<LI><A NAME="tex2html22"
  HREF="node5.html">Results</A>
<LI><A NAME="tex2html23"
  HREF="node6.html">Conclusions</A>
<LI><A NAME="tex2html24"
  HREF="node7.html">Acknowledgements</A>
<LI><A NAME="tex2html25"
  HREF="node8.html">Bibliography</A>
<LI><A NAME="tex2html26"
  HREF="node9.html">About this document ...</A>
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2003-10-08
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