Distribution of Aortic Mechanical Prosthetic Valve Closure Sound Model Parameters on the Surface of the Chest
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/25919
IEEE Transactions on Biomedical Engineering
- Research Paper 
It has been previously proposed that heart valve closure sounds can be modeled by a sum of decaying sinusoids, based on the hypothesis that the heart cavity, heart walls, major vessels, and other structures in the chest constitute a frequency selective linear acoustic system and this system is excited by the rapidly decelerating valve occluder. In this study, distribution of the parameters of this model for the second heart sound is investigated. For this purpose, heart sounds of 10 patients who have a St. Jude-type bileaflet mechanical heart valve prosthesis in aortic position are recorded. Recordings are performed at 12 different locations on the surface of the chest. To reliably assign representative parameters to each recording site, signal averaging, model order selection, and a special filtration technique are employed. The results of the analyses are discussed in relation to the above hypothesis on the heart sound generation mechanism. It is observed that site-to-site variation of frequencies of modes does not exceed the accuracy limit of proposed analysis method, but energies of these modes vary on the surface of the chest, and as a result of statistical analysis, it appears that energy of some modes are significantly different between two recording sites. © 1995 IEEE
Showing items related by title, author, creator and subject.
Demir A.; Hanay M.S. (Institute of Electrical and Electronics Engineers Inc., 2017)We present a numerical modeling and simulation paradigm for multi-domain, multi-physics systems with components modeled both in a lumped and distributed manner. The lumped components are modeled with a system of ...
Tekinerdoǧan, B.; Aktekin, N. (2009)One of the basic pillars in Model-Driven Software Development (MDSD) is defined by model transformations and likewise several useful approaches have been proposed in this context. In parallel, domain modeling plays an ...
Gunduz-Demir, C. (2007)We report a novel computational method based on graph evolution process to model the malignancy of brain cancer called glioma. In this work, we analyze the phases that a graph passes through during its evolution and ...