Respiratory Sound Analysis for Identifying Lung Diseases: A Review

Sibghatullah I. Khan

Abstract: For diagnosis of lung disease, lung sound auscultation plays an important role. Lung sound provides important information regarding underlying condition of lungs. Advances in the field of signal processing have led to development of automated tools for diagnosis of respiratory diseases using lung sound. This paper investigates the previous work undertaken by various researchers on automated respiratory sound diagnosis using visual and statistical methods. Based on this analysis, future work which can advance knowledge in the important area for remote healthcare is explored.

Keywords: Lung disorder, Respiratory sound, Visual analysis, Statistical analysis

How to Cite?: Sibghatullah I. Khan, "Respiratory Sound Analysis for Identifying Lung Diseases: A Review", Volume 3 Issue 11, November 2014, International Journal of Science and Research (IJSR), Pages: 566-571, https://www.ijsr.net/getabstract.php?paperid=OCT14975, DOI: https://dx.doi.org/10.21275/OCT14975