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Prediction of Left Ventricle Pressure Indices Via a Machine Learning Approach Combining ECG, Pulse Oximetry, and Cardiac Sounds: a Preclinical Feasibility Study

Crossref DOI link: https://doi.org/10.1007/s12265-024-10546-2

Published Online: 2024-07-17

Published Print: 2024-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Fassina, Lorenzo

Muzio, Francesco Paolo Lo

Berboth, Leonhard

Ötvös, Jens

Faragli, Alessandro

Alogna, Alessio https://orcid.org/0000-0001-5988-2720
Funding

Funding for this research was provided by:

Deutsche Forschungsgemeinschaft (DFG; CRC 1470)

Deutsche Forschungsgemeinschaft (Z01)

Progetti di Rilevante Interesse Nazionale (2017AXL54F_002)

Charité - Universitätsmedizin Berlin
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Article History

Received: 2 November 2023

Accepted: 10 July 2024

First Online: 17 July 2024

Declarations

:

: The authors have no relevant financial or non-financial interests to disclose.The authors have no conflicts of interest to declare that are relevant to the content of this article.All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript. The authors have no financial or proprietary interests in any material discussed in this article.

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