In this paper the authors will try to discuss the applicability of Wigner-Ville Distribution for the digital analysis of auscultatory sounds. First of all, thte issues related to computer aided diagnosis are presented. Next, the methodology of research is shown and subsequently, the types of sounds are described. Another element of this work is the presentation of issues related to the digital signal processing including the Short-Time Fourier Transform(STFT), Wigner-Ville Distribution (WVD), and its variation- Smoothed Wigner-Ville Distribution (SWVD). This paper summarizes the results obtained using STFT and SWVD, showing SWVD more useful to detect the type of auscultatory sounds
SummaryRationaleThe standardized use of a stethoscope for chest auscultation in clinical research is...
Heart sounds and murmurs are time-varying signals that would best be analyzed using time-frequency ...
Pneumothorax is usually diagnosed based on the attenuation of respiratory sounds of the affected sid...
This paper looks at the analysis of heart sounds and murmur using time-frequency signal analysis. Th...
Automated analysis and detection of abnormal lung sound patterns has great potential for improving a...
ABSTRACT: Auscaltation is a skill that requires substantial clinical experience, a fine stethoscope ...
Classification of respiratory sounds between normal and abnormal is very crucial for screening and ...
In this paper we present the method for determination of the specific auscultatory diagnostic signs ...
95 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1982.This thesis investigates the f...
The lung sounds is a non-stationary signal. It is a major challenge to analyze and differentiate the...
Auscultation or lung sound analysis depends on the familiarity of the physician on detecting sound p...
Auscultation or lung sound analysis depends on the familiarity of the physician on detecting sound p...
Today, data collection has improved in various areas, and the medical domain is no exception. Auscul...
Time-frequency analysis is one of the methods to deal with non-stationary and time-varying signal su...
Respiratory sounds are of significance as they provide valuable information on the health of the res...
SummaryRationaleThe standardized use of a stethoscope for chest auscultation in clinical research is...
Heart sounds and murmurs are time-varying signals that would best be analyzed using time-frequency ...
Pneumothorax is usually diagnosed based on the attenuation of respiratory sounds of the affected sid...
This paper looks at the analysis of heart sounds and murmur using time-frequency signal analysis. Th...
Automated analysis and detection of abnormal lung sound patterns has great potential for improving a...
ABSTRACT: Auscaltation is a skill that requires substantial clinical experience, a fine stethoscope ...
Classification of respiratory sounds between normal and abnormal is very crucial for screening and ...
In this paper we present the method for determination of the specific auscultatory diagnostic signs ...
95 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1982.This thesis investigates the f...
The lung sounds is a non-stationary signal. It is a major challenge to analyze and differentiate the...
Auscultation or lung sound analysis depends on the familiarity of the physician on detecting sound p...
Auscultation or lung sound analysis depends on the familiarity of the physician on detecting sound p...
Today, data collection has improved in various areas, and the medical domain is no exception. Auscul...
Time-frequency analysis is one of the methods to deal with non-stationary and time-varying signal su...
Respiratory sounds are of significance as they provide valuable information on the health of the res...
SummaryRationaleThe standardized use of a stethoscope for chest auscultation in clinical research is...
Heart sounds and murmurs are time-varying signals that would best be analyzed using time-frequency ...
Pneumothorax is usually diagnosed based on the attenuation of respiratory sounds of the affected sid...