DocumentCode
1935930
Title
Notice of Retraction
Feature analysis of heart sound based on the improved Hilbert-Huang Transform
Author
Lihan Liu ; Haibin Wang ; Yan Wang ; Ting Tao ; Xiaochen Wu
Author_Institution
Sch. of Electr. & Inf. Eng., Xihua Univ., Chengdu, China
Volume
6
fYear
2010
fDate
9-11 July 2010
Firstpage
378
Lastpage
381
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In order to analyze the feature of heart sound accurately and effectively, this paper presents a feature analysis approach of heart sound based on the improved Hilbert-Huang Transform after a large number of analysis of heart sounds in time frequency domain. The validity of the proposed method has been verified through Empirical Mode Decomposition (EMD) for a typical vibratory. Calculating and obtaining the characteristic parameter of heart sound by Hilbert spectrum analysis of several cases of normal and abnormal heart sounds. Experimental results show that the presented algorithm is able to identify different heart sounds in time frequency domain, and it also establishes the basis for the classification and recognition of heart sound.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In order to analyze the feature of heart sound accurately and effectively, this paper presents a feature analysis approach of heart sound based on the improved Hilbert-Huang Transform after a large number of analysis of heart sounds in time frequency domain. The validity of the proposed method has been verified through Empirical Mode Decomposition (EMD) for a typical vibratory. Calculating and obtaining the characteristic parameter of heart sound by Hilbert spectrum analysis of several cases of normal and abnormal heart sounds. Experimental results show that the presented algorithm is able to identify different heart sounds in time frequency domain, and it also establishes the basis for the classification and recognition of heart sound.
Keywords
Hilbert transforms; time-frequency analysis; Hilbert spectrum analysis; Hilbert-Huang transform; empirical mode decomposition; feature analysis; heart sound; time frequency domain; Artificial intelligence; Biomedical measurements; Cardiology; Diseases; Heart rate; EMD; Heart sound; Hilbert spectrum analysis; Hilbert-Huang Transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5563893
Filename
5563893
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