Title :
Analysis of Deformities in Lung Using Short Time Fourier Transform Spectrogram Analysis on Lung Sound
Author :
Parkhi, Abhinav ; Pawar, Mahesh
Author_Institution :
M Tech (Electron.) Dept. of Electron., Yeshwantrao Chavan Coll. of Eng., Nagpur, India
Abstract :
The lung itself cannot generate sound if there is no airflow, pressure differences between structures within the thorax. Listening and interpreting lung sounds by a stethoscope had been an important component of screening and diagnosing lung diseases. However this practice has always been vulnerable to poor audibility, inter-observer variations (between different physicians) and poor reproducibility. Lung sound consists of two main types of sound Basic Lung sound and adventitious sound. The timing, repeatability, and shape of crackles are important parameters for diagnosis. In this paper we aim at automatic analysis of lung sounds for wheeze and crackle detection and classification.
Keywords :
Fourier transforms; lung; medical signal processing; patient diagnosis; pneumodynamics; airflow; audibility; crackles shape; lung deformities; lung disease; lung sound; pressure difference; repeatability; short time Fourier transform spectrogram analysis; stethoscope; thorax; timing; wheeze; Diseases; Fourier transforms; Frequency conversion; Heart; Lungs; Spectrogram; Time frequency analysis; Crackle; Lung sound; Wheeze;
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2011 International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4577-2033-8
DOI :
10.1109/CICN.2011.35