Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
A recognition method research based on the heart sound texture map
View through CrossRef
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.
Title: A recognition method research based on the heart sound texture map
Description:
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.
Related Results
Identification and Discrimination of Sound Textures in Hearing-Impaired and Older Listeners
Identification and Discrimination of Sound Textures in Hearing-Impaired and Older Listeners
Sound textures are a broad class of sounds defined by their homogeneous temporal structure. It has been suggested that sound texture perception is mediated by time-averaged summary...
GENETIC PERSPECTIVE OF THE CONGENITAL HEART DISEASE
GENETIC PERSPECTIVE OF THE CONGENITAL HEART DISEASE
Congenital heart diseases (CHDs) are the structural abnormalities that may occur in the heart, greater veins and arteries or may include the septum between the ventricles and atria...
Depth-aware salient object segmentation
Depth-aware salient object segmentation
Object segmentation is an important task which is widely employed in many computer vision applications such as object detection, tracking, recognition, and ret...
STUDIES ON THE VENOUS PULSE
STUDIES ON THE VENOUS PULSE
This investigation comprises a study of venous pulse, carotid, cardiographic, and heart sound records from twenty-one men with normal hearts. The heart sounds were recorded by the ...
Influences of Global and Local Features on Eye-Movement Patterns in Visual-Similarity Perception of Synthesized Texture Images
Influences of Global and Local Features on Eye-Movement Patterns in Visual-Similarity Perception of Synthesized Texture Images
Global and local features are essential for visual-similarity texture perception. Therefore, understanding how people allocate their visual attention when viewing textures with glo...
A ROBUST-TEXTURE CONVOLUTIONAL NEURAL NETWORK
A ROBUST-TEXTURE CONVOLUTIONAL NEURAL NETWORK
AlexNet was a breakthrough for the convolutional neural network (CNN) and showed the greatest successful mod- ified CNN that works well with large-scale images. However, it was uns...
Texture Analysis of The Microstructure of Internal Curing Concrete Based On Image Recognition Technology
Texture Analysis of The Microstructure of Internal Curing Concrete Based On Image Recognition Technology
Abstract
Mechanical properties of internal curing concrete are greatly affected by its physical properties such as water content, cementing material content, porosity, and ...
The Predictive Value of MAP and ETCO2 Changes After Emergency Endotracheal Intubation for Severe Cardiovascular Collapse
The Predictive Value of MAP and ETCO2 Changes After Emergency Endotracheal Intubation for Severe Cardiovascular Collapse
Abstract
Objective: To analyze the changes in mean arterial pressure (MAP) and end-tidal CO2 (ETCO2) in patients after emergency endotracheal intubation (ETI). To explore t...