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    <subfield code="a">10.23919/CinC49843.2019.9005628</subfield>
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    <subfield code="a">Varon, C.</subfield>
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  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Quantification of Linear and Nonlinear Cardiorespiratory Interactions under Autonomic Nervous System Blockade</subfield>
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    <subfield code="c">2019</subfield>
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    <subfield code="a">This paper proposes a methodology to extract both linear and nonlinear respiratory influences from the heart rate variability (HRV), by decomposing the HRV into a respiratory and a residual component. This methodology is based on least-squares support vector machines (LS-SVM) formulated for nonlinear function estimation. From this decomposition, a better estimation of the respiratory sinus arrhythmia (RSA) and the sympathovagal balance (SB) can be achieved. These estimates are first analyzed during autonomic blockade and an orthostatic maneuver, and then compared against the classical HRV and a model that considers only linear interactions. Results are evaluated using surrogate data analysis and they indicate that the classical HRV and the linear model underestimate the cardiorespiratory interactions. Moreover, the linear and nonlinear interactions appear to be mediated by different control mechanisms. These findings will allow to better assess the ANS and to improve the understanding of the interactions within the cardiorespiratory system.</subfield>
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    <subfield code="9">info:eu-repo/grantAgreement/EC/FP7/339804/EU/Biomedical Data Fusion using Tensor based Blind Source Separation/BIOTENSORS</subfield>
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    <subfield code="a">0.296</subfield>
    <subfield code="b">2019</subfield>
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  <datafield tag="593" ind1=" " ind2=" ">
    <subfield code="a">Computer Science (miscellaneous)</subfield>
    <subfield code="c">2019</subfield>
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  <datafield tag="593" ind1=" " ind2=" ">
    <subfield code="a">Cardiology and Cardiovascular Medicine</subfield>
    <subfield code="c">2019</subfield>
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    <subfield code="a">Hendrikx, D.</subfield>
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    <subfield code="a">Bolea, J.</subfield>
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  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Laguna, P.</subfield>
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  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Bailón, R.</subfield>
    <subfield code="u">Universidad de Zaragoza</subfield>
    <subfield code="0">(orcid)0000-0003-1272-0550</subfield>
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    <subfield code="1">5008</subfield>
    <subfield code="2">800</subfield>
    <subfield code="a">Universidad de Zaragoza</subfield>
    <subfield code="b">Dpto. Ingeniería Electrón.Com.</subfield>
    <subfield code="c">Área Teoría Señal y Comunicac.</subfield>
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  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="g">46 (2019), [4 pp]</subfield>
    <subfield code="p">Comput. cardiol.</subfield>
    <subfield code="t">Computing in Cardiology</subfield>
    <subfield code="x">2325-8861</subfield>
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