Automatic Lung Health Screening Using Respiratory Sounds

Respiratory health screening using pulmonary function tests and lung sound analysis.

Lung sounds (LS) analysis is a potential source of additional objective, noninvasive and quantitative information on the status of the pulmonary system. We have examined the hypothesis that the addition of lung sounds analysis to spirometry increases the sensitivity of objective population screening, as compared to the use of spirometry alone. Questionnaires, spirometry and lung sounds were obt...

A new scheme for automatic classification of pathologic lung sounds

In this paper, a classification scheme has been proposed to classify crackles based on waveform features and frequency domain features. This purpose is very important in the analysis of respiratory disorders. In fact, morphological characters of crackles can be well represented by time amplitude distribution. Thus, they convey significant diagnostic information, for their precise timing in the ...

Method for automatic detection of wheezing in lung sounds.

The present report describes the development of a technique for automatic wheezing recognition in digitally recorded lung sounds. This method is based on the extraction and processing of spectral information from the respiratory cycle and the use of these data for user feedback and automatic recognition. The respiratory cycle is first pre-processed, in order to normalize its spectral informatio...

Lung Sounds

Detection of Adventitious Respiratory Sounds Using Empirical Mode Decomposition

Respiratory sound analysis using stethoscope continues to be the mostly used method for the diagnosis of respiratory diseases. This technique depends on detection of symptomatic adventitious sounds present with normal vesicular sounds. However, some factors such as dependence on the practitioner doctor’s experience, frequency distortion of the stethoscope and frequency response of the human ear...