Downloads: 109 | Views: 233
Review Papers | Electronics & Communication Engineering | India | Volume 3 Issue 11, November 2014 | Popularity: 6.6 / 10
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
Edition: Volume 3 Issue 11, November 2014
Pages: 566 - 571
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 105
Research Paper, Electronics & Communication Engineering, India, Volume 4 Issue 5, May 2015
Pages: 2561 - 2564Statistical Simulation for BIST Architecture using Cognitive Principles
Shradha Khemka
Downloads: 109
Research Paper, Electronics & Communication Engineering, India, Volume 3 Issue 10, October 2014
Pages: 1374 - 1376Extraction of Heart Rate Parameters Using Speech Analysis
Jaswinder Kaur, Rupinder Kaur
Downloads: 111
Review Papers, Electronics & Communication Engineering, India, Volume 4 Issue 9, September 2015
Pages: 1863 - 1865Review: MFCC & Multitaper MFCC Feature Extraction for Speaker Verification
Rupali G Shintri, S. K. Bhatia
Downloads: 111
M.Tech / M.E / PhD Thesis, Electronics & Communication Engineering, India, Volume 6 Issue 4, April 2017
Pages: 2064 - 2067Synchronous Distributed Generation System using RF Communication for Off-the Grid System
Amruta S. Pingale, V. K. Bhosale
Downloads: 116
Research Paper, Electronics & Communication Engineering, India, Volume 3 Issue 9, September 2014
Pages: 1114 - 1120Trojan Detection Using EDA Tools
Deepa, Monika Gupta