Assessment of aortic valve stenosis severity using intelligent phonocardiography

Int J Cardiol. 2015 Nov 1:198:58-60. doi: 10.1016/j.ijcard.2015.06.126. Epub 2015 Jul 2.

¹ Physiological Measurements, Department of Biomedical Engineering, Linköping University, Linköping, Sweden. Electronic address: arash.ghareh.baghi@liu.se.
² Department of Clinical Physiology, Department of Medical and Health Sciences, Faculty of Health Sciences, Linköping University, Linköping, Sweden.
³ Physiological Measurements, Department of Biomedical Engineering, Linköping University, Linköping, Sweden.
⁴ Department of Clinical Physiology, Department of Medical and Health Sciences, Faculty of Health Sciences, Linköping University, Linköping, Sweden; Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.
⁵ Division of Medical Imaging and Technology, Department of Clinical Science, Intervention and Technology, Karolinska Institute, Stockholm, Sweden; Department of Clinical Physiology, Karolinska University Hospital, Stockholm, Sweden; Department of Medical Technology, Karolinska University Hospital, Stockholm, Sweden; School of Technology and Health, KTH Royal Institute of Technology, Stockholm, Sweden.

No abstract available

Keywords: Aortic stenosis; Decision support system; Heart sound; Intelligent phonocardiography; Phonocardiography; Primary healthcare centers.

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