Abstract
In order to improve the Heart Sound recognition rate and reduce the recognition time, in this paper, we introduces a new method for Heart Sound pattern recognition by using Heart Sound Texture Map. Based on the Heart Sound model, we give the Heart Sound time-frequency diagram and the Heart Sound Texture Map definition, we study the structure of the Heart Sound Window Function principle and realization method, and then discusses how to use the Heart Sound Window Function and the Short-time Fourier Transform to obtain two-dimensional Heart Sound time-frequency diagram, propose corner correlation recognition algorithm based on the Heart Sound Texture Map according to the characteristics of Heart Sound. The simulation results show that the Heart Sound Window Function compared with the traditional window function makes the first (S1) and the second (S2) Heart Sound texture clearer. And the corner correlation recognition algorithm based on the Heart Sound Texture Map can significantly improve the recognition rate and reduce the expense, which is an effective Heart Sound recognition method.
Highlights
Heart Sound signal is one of the most important physiological signals in human body; it contains much physiological information of various parts of heart such as atrial and ventricular heart, great vessels, every valve function state of cardiovascular
In order to improve the Heart Sound recognition rate and reduce the recognition time, in this paper, we introduces a new method for Heart Sound pattern recognition by using Heart Sound Texture Map
Based on the Heart Sound model, we give the Heart Sound time-frequency diagram and the Heart Sound Texture Map definition, we study the structure of the Heart Sound Window Function principle and realization method, and discusses how to use the Heart Sound Window Function and the Short-time Fourier Transform to obtain two-dimensional Heart Sound time-frequency diagram, propose corner correlation recognition algorithm based on the Heart Sound Texture Map according to the characteristics of Heart Sound
Summary
Heart Sound signal is one of the most important physiological signals in human body; it contains much physiological information of various parts of heart such as atrial and ventricular heart, great vessels, every valve function state of cardiovascular. It is difficult to achieve the same heart sound which is generated from an artificial heart remodeling, of which biological properties must be in accordance with that in human.[2,5] In recent years, there has been a lot of research results show that identity recognition using heart sound is feasible.[2,3,4,5,6,7,8,9]. How to improve the Heart Sound recognition rate and shorten the recognition time is an important direction of Heart Sound pattern recognition research. The author of this paper has carried on the multi-scale of improvement, and makes Heart Sound normalized cross-correlation identification according to the Heart Sound nonlinear time-varying characteristics. The simulation results show that the improved corner detection to extract the corner has a lower computational cost and more prominent and clear embodiment of Heart Sound, which is advantageous to the rapid identification of Heart Sound
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
