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Assessment of aortic valve stenosis severity using intelligent phonocardiography
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Linköping University, Linköping, Sweden.
Linköping University, Linköping, Sweden.
Linköping University, Linköping, Sweden.
Linköping University, Linköping, Sweden.
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2015 (English)In: International Journal of Cardiology, ISSN 0167-5273, E-ISSN 1874-1754, Vol. 198, 58-60 p.Article in journal, Letter (Other academic) Published
Place, publisher, year, edition, pages
2015. Vol. 198, 58-60 p.
Keyword [en]
Aortic stenosis, Decision support system, Heart sound, Intelligent phonocardiography, Phonocardiography, Primary healthcare centers
National Category
Medical Engineering
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URN: urn:nbn:se:mdh:diva-28915DOI: 10.1016/j.ijcard.2015.06.126ISI: 000360319900020Scopus ID: 2-s2.0-84940434880OAI: oai:DiVA.org:mdh-28915DiVA: diva2:853229
Available from: 2015-09-11 Created: 2015-09-11 Last updated: 2017-12-04Bibliographically approved

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