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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Bioeng. Biotechnol.</journal-id>
<journal-title>Frontiers in Bioengineering and Biotechnology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Bioeng. Biotechnol.</abbrev-journal-title>
<issn pub-type="epub">2296-4185</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="publisher-id">1341852</article-id>
<article-id pub-id-type="doi">10.3389/fbioe.2023.1341852</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Bioengineering and Biotechnology</subject>
<subj-group>
<subject>Correction</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Corrigendum: Estimation of left ventricular end-systolic elastance from brachial pressure waveform via deep learning</article-title>
<alt-title alt-title-type="left-running-head">Bikia et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fbioe.2023.1341852">10.3389/fbioe.2023.1341852</ext-link>
</alt-title>
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<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Bikia</surname>
<given-names>Vasiliki</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lazaroska</surname>
<given-names>Marija</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1508919/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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<contrib contrib-type="author">
<name>
<surname>Scherrer Ma</surname>
<given-names>Deborah</given-names>
</name>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>M&#xe9;line</given-names>
</name>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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<contrib contrib-type="author">
<name>
<surname>Rovas</surname>
<given-names>Georgios</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1145945/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
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<contrib contrib-type="author">
<name>
<surname>Pagoulatou</surname>
<given-names>Stamatia</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1319312/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
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<contrib contrib-type="author">
<name>
<surname>Stergiopulos</surname>
<given-names>Nikolaos</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1703851/overview"/>
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<aff>
<institution>Laboratory of Hemodynamics and Cardiovascular Technology</institution>, <institution>Institute of Bioengineering</institution>, <institution>Swiss Federal Institute of Technology</institution>, <addr-line>Lausanne</addr-line>, <country>Switzerland</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited and reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/47001/overview">Yih-Kuen Jan</ext-link>, University of Illinois at Urbana&#x2013;Champaign, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Vasiliki Bikia, <email>vickybikia@gmail.com</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>12</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1341852</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>11</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>11</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Bikia, Lazaroska, Scherrer Ma, Zhao, Rovas, Pagoulatou and Stergiopulos.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Bikia, Lazaroska, Scherrer Ma, Zhao, Rovas, Pagoulatou and Stergiopulos</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<related-article id="RA1" related-article-type="corrected-article" journal-id="Front. Bioeng. Biotechnol." journal-id-type="nlm-ta" xlink:href="10.3389/fbioe.2021.754003" ext-link-type="doi">A Corrigendum <article-title>Estimation of left ventricular end-systolic elastance from brachial pressure waveform via deep learning</article-title> by Bikia V, Lazaroska M, Scherrer Ma D, Zhao M, Rovas G, Pagoulatou S and Stergiopulos N (2021). Front. Bioeng. Biotechnol. 9:754003. doi: <object-id>10.3389/fbioe.2021.754003</object-id>
</related-article>
<kwd-group>
<kwd>cardiac monitoring</kwd>
<kwd>convolution neural networks</kwd>
<kwd>cardiovascular modelling</kwd>
<kwd>non-invasive</kwd>
<kwd>contractility</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Biomechanics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<p>In the published article, there was an error. Wrong numbers have been used for the data train/validation/test split.</p>
<p>A correction has been made to the section <bold>Material and Methods</bold>, <italic>Data Pre-processing</italic>, Paragraph 1. This sentence previously stated:</p>
<p>&#x201c;The train/validation/test split was set to be 60% (2,290 cases)/20% (764 cases)/20% (764 cases). By computing the MSE with decreasing training size, we noticed that similar results can also be achieved with fewer samples (e.g., 1,603) and, therefore, we may deduce that a training size of 2,290 is sufficient.&#x201d;</p>
<p>The corrected sentence appears below:</p>
<p>&#x201c;The train/validation/test split was set to be 60% (2,248 cases)/20% (750 cases)/20% (750 cases). By computing the MSE with decreasing training size, we noticed that similar results can be achieved with fewer samples (e.g., 1,603) and, therefore, we may deduce that a training size of 2,248 is sufficient.&#x201d;</p>
<p>The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.</p>
</body>
<back>
<sec sec-type="disclaimer" id="s1">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</back>
</article>