![]() ![]() ![]() Eng. 36(2), 286–291 (1989)Īrakawa, K., Harashima, H., Ono, M., Mori, M.: Non-linear digital filters for extracting crackles from lung sounds. ![]() Ono, M., Arakawa, K., Mori, M., Sugimoto, T., Harashima, H.: Separation of fine crackles from vesicular sounds by a nonlinear digital filter. Rev. 10(77), 597–610 (2000)Įpler, G.R., Carrington, C.B., Gaensler, E.A.: Crackles (rales) in the interstitial pulmonary diseases. Sovijrvi, A.R.A., Dalmasso, F., Vanderschoot, J., Malmberg, L.P., Righini, G., Stoneman, S.A.T.: Definition of terms for applications of respiratory sounds. Sovijarvi, A.R.A., Vanderschoot, J., Earis, J.E.: Standardization of computerized respiratory sound analysis. UNICEF, Pneumonia and Diarrhea Tackling the Deadliest Diseases of the World’s Poorest Children, UNICEF Division of Policy and Strategy, New York (June 2012) This process is experimental and the keywords may be updated as the learning algorithm improves. These keywords were added by machine and not by the authors. The proposed system then performs classification to separate crackles and bronchial breath sounds from normal breath sounds. The proposed system consists of four modules i.e., pre-processing in which noise is filtered out, followed by feature extraction. This process has subjective nature and that is why simple auscultation cannot be relied upon.In this paper we present a novel method for automated detection of crackles and bronchial breath sounds which when coupled together indicate presence and severity of Pneumonia. Respiratory sound analysis helps in distinguishing normal respiratory sounds from abnormal respiratory sounds and this can be used to accurately diagnose respiratory diseases as is done by a medical specialist via auscultation. A computer aided diagnostic system capable of analyzing respiratory sounds can be very helpful in detection of pneumonia, asthma and tuberculosis as the Respiratory sound signal carries information about the underlying physiology of the lungs and is used to detect presence of adventitious lung sounds which are an indication of disease. ![]()
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