2017 ESC/EACTS Guidelines for the management of valvular heart disease

Helmut Baumgartner, Volkmar Falk, Jeroen J. Bax, Michele De Bonis, Christian W. Hamm, Per Johan Holm, Bernard Iung, Patrizio Lancellotti, Emmanuel Lansac, Daniel Muñoz, Raphaël Rosenhek, Johan Sjögren, Pilar Tornos Mas, Alec Vahanian, Thomas Walther, Olaf Wendler, Stephan Windecker, José Luis Zamorano, ESC Scientific Document Group, Marco Roffi, Ottavio Alfieri, Stefan Agewall, Anders Ahlsson, Emanuele Barbato, Héctor Bueno, Jean-Philippe Collet, Ioan Mircea Coman, Martin Czerny, Victoria Delgado, Donna Fitzsimons, Thierry Folliguet, Oliver Gaemperli, Gilbert Habib, Wolfgang Harringer, Michael Haude, Gerhard Hindricks, Hugo A. Katus, Juhani Knuuti, Philippe Kolh, Christophe Leclercq, Theresa A. McDonagh, Massimo Francesco Piepoli, Luc Piérard, Piotr Ponikowski, Giuseppe Rosano, Frank Ruschitzka, Е. V. Shlyakhto, Iain A. Simpson, Miguel Sousa‐Uva, Janina Stępińska, Giuseppe Tarantini, Didier Tchétché, Victor Aboyans, Stephan Windecker, Victor Aboyans, Stefan Agewall, Emanuele Barbato, Héctor Bueno, António Coca, Jean-Philippe Collet, Ioan Mircea Coman, Verónica Dean, Victoria Delgado, Donna Fitzsimons, Oliver Gaemperli, Gerhard Hindricks, Bernard Iung, Peter Jüni, Hugo A. Katus, Juhani Knuuti, Patrizio Lancellotti, Christophe Leclercq, Theresa A. McDonagh, Massimo Francesco Piepoli, Piotr Ponikowski, Dimitrios Richter, Marco Roffi, Е. V. Shlyakhto, Iain A. Simpson, José Luis Zamorano, H Kzhdryan, Julia Mascherbauer, Fuad Samadov, Vadim Shumavets, Guy Van Camp, Daniela Lončar, Daniel Lovrić, Γεώργιος Γεωργίου, Kateřina Linhartová, Nikolaj Ihlemann, Magdy Abdelhamid, Teele Pern, Anu Turpeinen, Elizabeta Srbinovska‐Kostovska, Ariel Cohen, Zviad Bakhutashvili, Hüseyin İnce, Manolis Vavuranakis, A Temesvári, Þórarinn Guðnason

European Heart Journal · 2017

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Summary

Mathematical support for phonocardiographic signal processing has been developed based on a mathematical model in the form of a periodically correlated stochastic process and a component processing method. On the basis of mathematical support, algorithmic and software was developed in the Matlab environment for automated systems of computer diagnostics of the functional state of the valves of the human heart when mitral insufficiency is detected.

Source type: Peer-reviewed study
DOI: 10.1093/eurheartj/ehx391
Catalogue ID: SNmohbax7h-sl1pnq

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