Differentiating nature of cough sounds in time domain analysis

Differentiating nature of cough sounds in time domain analysis

The aim of this study is to discriminate the nature of cough by extracting its features time domain method. We are using two types of cough sound for prognosis purpose such as Productive and Nonproductive cough sounds. In this paper we are applying Digital signal processing algorithm for analysis of...

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Bibliographic Details
Published in:2015 International Conference on Industrial Instrumentation and Control (ICIC) pp. 1022 - 1026
Main Authors: Walke, S. A., Thool, V. R.
Format: Conference Proceeding
Language:English
Published: IEEE 01-05-2015
Subjects:
Bio signal processing algorithm
Cough sounds
Iron
Medical diagnostic imaging
Signal processing algorithm
Online Access:Get full text
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Summary:The aim of this study is to discriminate the nature of cough by extracting its features time domain method. We are using two types of cough sound for prognosis purpose such as Productive and Nonproductive cough sounds. In this paper we are applying Digital signal processing algorithm for analysis of sounds. The feature extractions of sound detect the number of peaks and concentrate on phase two of sounds. So, by using this feature separation of productive and nonproductive cough sound is identified clearly which helps doctor for accurate diagnosis. Also, shown the impact of filters on signal of cough sounds. This study helps to health care professionals in their diagnosis.
DOI:10.1109/IIC.2015.7150896