Automatic Wheeze Detection System as Symptoms of Asthma Using Spectral Power Analysis
- *Corresponding Author:
- Gadge PB
Sipna College of Engineering and Technology
Amravati, Maharashtra, India
E-mail: [email protected]
Received Date: April 28, 2016; Accepted Date: May 24, 2016; Published Date: May 31, 2016
Citation: Gadge PB, Rode SV (2016) Automatic Wheeze Detection System as Symptoms of Asthma Using Spectral Power Analysis. J Bioengineer & Biomedical Sci 6:191. doi:10.4172/2155-9538.1000191
Copyright: © 2016 Gadge PB, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
People all over the world live and die from, respiratory disorders. It doesn’t matter who suffer may be young or old. This respiratory problem they have from birth or develop in certain environmental condition over the years. Wheezes are more musical respiratory sounds as compared to normal respiratory sound, which usually due to pathological condition of the respiratory system especially irregularities in pulmonary obstruction, such as asthma and chronic obstructive pulmonary disease (COPD). Identification of the Wheeze sound is the first step in controlling the asthma. Using that easy to understand the disease progress, and how close research to developing new test and treatments and what still needs to be done. Although many studies have addressed the problem of wheeze detection, a limited number of scientific works has focused on real time detection of wheeze sound. As day to day increasing number of asthmatic patient there is a need of automatic monitoring of the wheeze sound to assist the physicians in diagnosing and monitoring the patient. The purpose of this study was to develop automatic wheeze detection systems with spectral power estimation in real time to assist the physicians in diagnosing and monitoring the patient.