Automatic Detection of Atrial Fibrillation from Single-Lead ECG Using Deep Learning of the Cardiac Cycle

<div class="floats-full-page floats-full-page-figure"><h2>Figure 3</h2><div class="floats-full-page-caption"><div>Reconstruction of a single heartbeat by DeepHeartBeat, Pace-DeepHeartBeat, and Shape-DeepHeartBeat with different numbers of latent dimensions <span class="nowrap"><svg height="9.49473pt" id="M73" style="vertical-align:-0.2063999pt" version="1.1" viewbox="-0.0498162 -9.28833 7.34169 9.49473" width="7.34169pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M530 686C535 705 530 712 521 712C504 712 448 684 359 674L358 648H393C437 648 439 646 429 593L400 435C372 447 345 448 332 448C286 448 194 414 144 373C68 311 23 203 23 111C23 26 57 -12 91 -12C120 -12 147 3 188 29C227 54 290 102 341 170H343L322 71C308 6 320 -12 341 -12C373 -12 442 27 501 96L485 120C455 91 422 67 408 67C401 67 401 76 404 91C440 294 479 473 530 686ZM387 375L355 241C326 187 200 53 142 53C126 53 109 73 109 130C109 217 154 337 218 381C240 396 265 404 297 404S372 390 387 375Z"></path></g></svg>.</span></div></div><div class="floats-full-page-content"><table class="figure-group"><tr class="fig-image"><td><object data="https://d31iiq90dwlpfy.cloudfront.net/articles/bmef/volume-2022/9813062/figures/9813062.fig.003.svgz" name="9813062.fig.003" type="image/svg+xml"></object></td></tr></table></div></div>

Figure 3 | Automatic Detection of Atrial Fibrillation from Single-Lead ECG Using Deep Learning of the Cardiac Cycle

title

Figure 3: Automatic Detection of Atrial Fibrillation from Single-Lead ECG Using Deep Learning of the Cardiac Cycle

description

Figure 3

About this journal

<p>The open access journal <em>BME Frontiers (</em><em>BMEF)</em>, published in association with SIBET CAS, is a platform for the multidisciplinary community of biomedical engineering, publishing wide-ranging research in the field.</p>


Journal profile

Meet the editorial board

<p><em>BMEF's</em> editorial board is led by Xingde Li&nbsp;(Johns Hopkins University), Yuguo Tang&nbsp;(Suzhou Institute of Biomedical Engineering and Technology), and&nbsp;Guoqi Zhang&nbsp;(Delft University of Technology) and is comprised of leading experts in the field of biomedical engineering.</p>


Editorial board

More special issue details

<p>Special Issues now open for submissions:</p>

<p>&nbsp;</p>

<p><a href="/bme-frontiers-special-issues/dna-nano"><strong>DNA Nanotechnology&nbsp;for Advanced Biomedical Applications</strong></a></p>

<p>&nbsp;</p>

<p><strong><a href="/bme-frontiers-special-issues/molec-eng-regen-med/">Molecular Engineering and Regenerative Medicine</a></strong></p>


Special Issues

Author guidelines

Databases and indexing

The open access journal BME Frontiers (BMEF), published in association with SIBET CAS, is a platform for the multidisciplinary community of biomedical engineering, publishing wide-ranging research in the field.