TITLE

Heart Sound Localization in Respiratory Sounds Based on Singular Spectrum Analysis and Frequency Features

AUTHOR(S)
Molaie, Malihe; Moradi, Mohammad Hassan
PUB. DATE
August 2015
SOURCE
ETRI Journal;Aug2015, Vol. 37 Issue 4, p824
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Heart sounds are the main obstacle in lung sound analysis. To tackle this obstacle, we propose a diagnosis algorithm that uses singular spectrum analysis (SSA) and frequency features of heart and lung sounds. In particular, we introduce a frequency coefficient that shows the frequency difference between heart and lung sounds. The proposed algorithm is applied to a synthetic mixture of heart and lung sounds. The results show that heart sounds can be extracted successfully and localizations for the first and second heart sounds are remarkably performed. An error analysis of the localization results shows that the proposed algorithm has fewer errors compared to the SSA method, which is one of the most powerful methods in the localization of heart sounds. The presented algorithm is also applied in the cases of recorded respiratory sounds from the chest walls of five healthy subjects. The efficiency of the algorithm in extracting heart sounds from the recorded breathing sounds is verified with power spectral density evaluations and listening. Most studies have used only normal respiratory sounds, whereas we additionally use abnormal breathing sounds to validate the strength of our achievements.
ACCESSION #
108832370

 

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