DocumentCode :
838696
Title :
A robust method for heart sounds localization using lung sounds entropy
Author :
Yadollahi, Azadeh ; Moussavi, Zahra M K
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
Volume :
53
Issue :
3
fYear :
2006
fDate :
3/1/2006 12:00:00 AM
Firstpage :
497
Lastpage :
502
Abstract :
Heart sounds are the main unavoidable interference in lung sound recording and analysis. Hence, several techniques have been developed to reduce or cancel heart sounds (HS) from lung sound records. The first step in most HS cancellation techniques is to detect the segments including HS. This paper proposes a novel method for HS localization using entropy of the lung sounds. We investigated both Shannon and Renyi entropies and the results of the method using Shannon entropy were superior. Another HS localization method based on multiresolution product of lung sounds wavelet coefficients adopted from was also implemented for comparison. The methods were tested on data from 6 healthy subjects recorded at low (7.5 ml/s/kg) and medium (15 ml/s/kg) flow rates. The error of entropy-based method using Shannon entropy was found to be 0.1 ± 0.4% and 1.0 ± 0.7% at low and medium flow rates, respectively, which is significantly lower than that of multiresolution product method and those of other methods reported in previous studies. The proposed method is fully automated and detects HS included segments in a completely unsupervised manner.
Keywords :
acoustic signal processing; bioacoustics; cardiology; entropy; lung; medical signal processing; Renyi entropy; Shannon entropy; heart sound cancellation; heart sounds localization; lung sounds entropy; wavelet coefficients; Energy resolution; Entropy; Frequency; Heart; Interference; Lungs; Noise reduction; Robustness; Signal resolution; Wavelet coefficients; Entropy; heart sounds localization; lung sounds; multiresolution product; wavelet; Adult; Artifacts; Diagnosis, Computer-Assisted; Female; Heart; Heart Sounds; Humans; Lung; Male; Reproducibility of Results; Respiratory Sounds; Sensitivity and Specificity; Sound Spectrography;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2005.869789
Filename :
1597500
Link To Document :
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