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Deep Learning Based QRS Multilead Delineator in Electrocardiogram Signals

Julià Camps, Blanca Rodriguez, Ana Minchole
<span title="2018-12-30">2018</span> <i title="Computing in Cardiology"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5mzljmmf35bjpkflvspaktlkqi" style="color: black;">2018 Computing in Cardiology Conference (CinC)</a> </i> &nbsp;
We present a deep learning-based multilead ECG delineation method which can successfully delineate QRS complexes.  ...  Extracting critical biomarkers from these signals, such as the QRS width, requires delineating the fundamental waves in them.  ...  Acknowledgements The Engineering and Physical Sciences Research Council supports JC, and a Wellcome Trust Senior Research Fellowship in Basic Biomedical Sciences supports AM and BR.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22489/cinc.2018.292">doi:10.22489/cinc.2018.292</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cinc/CampsRM18.html">dblp:conf/cinc/CampsRM18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dom2rhpbvvcotckledzdobqeze">fatcat:dom2rhpbvvcotckledzdobqeze</a> </span>
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