학술논문

Non-invasive determination of mitral valve acoustic properties: a proposed method to determine tissue alterations due to disease
Document Type
Conference
Source
Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N Joint BMES/EMBS conference [Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint. 1:183 vol.1 1999
Subject
Bioengineering
Computing and Processing
Components, Circuits, Devices and Systems
Time frequency analysis
Heart valves
Animals
Acoustic sensors
Data analysis
Coupled mode analysis
Performance analysis
Fluid dynamics
Finite element methods
Shape
Language
ISSN
1094-687X
Abstract
The purpose of this study was to determine the time-frequency content of the heart sounds, in both animal and computer models. In normal, unoperated sheep (N=8), the first heart sounds (S1) were recorded with an acoustic sensor. Data analysis consisted of cross-correlation of successive heartbeats to determine beat-to-beat regularity, as well as a Wigner time-frequency distribution analysis, to generate time-frequency "signatures" of each S1. In addition, a dynamic, fluid-structure coupled finite element model (FEM) of the mitral valve was constructed, and an identical time-frequency analysis of the normal velocity vector of the valve elements was performed. The average cross-correlation coefficient for the eight consecutive beats of all eight sheep was 0.90. The time-frequency signatures were generally the shape of a descending crescent centered on 65 Hz. Time frequency analysis of the normal velocity vector of the FEM valve elements was a descending crescent centered on 48 Hz. We conclude that time-frequency analysis can be used to obtain a "signature" of the radiated vibrations of the mitral valve, which correlates with numerical models.