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Background <p>Cough is a common symptom of respiratory diseases and cough intensity analysis can act as a determinant for identifying a pathological condition in the lungs. Recent advancement in the analysis of the cough sound has suggested that it has the potential to be used as a non-invasive marker for screening respiratory conditions. This study highlights the variation of the peak energy features of cough sounds in different respiratory conditions.</p> <p>For validation 1849 voluntary cough sounds were recorded through a mobile application from 1402 patients (both male and female). From every subject three audio recordings were collected before taking a spirometry test. Peak analysis is performed on the features extracted from cough audio signals. The comparison of these features is done against the clinical diagnosis performed by the physician after going through history, spirometry and radiology as per the standard of practice. </p> Results <p>The peak analysis in Asthma shows higher base distance and peak height than that of Normal because of prolonged expulsion and airways constriction. The base distance is observed high in Bronchiectasis, but peak height and prominence are less when compared with Normal due to loss of elasticity in the airways. Whereas in COPD the base distance and prominence are found to be less than Normal, Asthma and Bronchiectasis which is attributed to multiple narrowing of the glottis. </p> Conclusion <p>Peak analysis of cough provides inferences which can be used as descriptors to differentiate coughs related to respiratory diseases. </p>

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Identification of respiratory diseases using peak energy analysis of acoustic cough

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月10日

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  • Sujith Thomas Chandy,
  • Balamugesh Thangakunam,
  • Gowrisree Rudraraju,
  • Narayana Rao Sripada,
  • Jayanthy Govindaraj,
  • Charishma Gottipulla,
  • Baswaraj Mamidgi,
  • Shubha Deepti Palreddy,
  • Nikhil Kumar Reddy Bhoge,
  • Harsha Vardhan Reddy Narreddy,
  • Prasanna P. Samuel,
  • Devasahayam Jesudas Christopher,
  • Manmohan Jain,
  • Venkat Yechuri

摘要

Background

Cough is a common symptom of respiratory diseases and cough intensity analysis can act as a determinant for identifying a pathological condition in the lungs. Recent advancement in the analysis of the cough sound has suggested that it has the potential to be used as a non-invasive marker for screening respiratory conditions. This study highlights the variation of the peak energy features of cough sounds in different respiratory conditions.

For validation 1849 voluntary cough sounds were recorded through a mobile application from 1402 patients (both male and female). From every subject three audio recordings were collected before taking a spirometry test. Peak analysis is performed on the features extracted from cough audio signals. The comparison of these features is done against the clinical diagnosis performed by the physician after going through history, spirometry and radiology as per the standard of practice.

Results

The peak analysis in Asthma shows higher base distance and peak height than that of Normal because of prolonged expulsion and airways constriction. The base distance is observed high in Bronchiectasis, but peak height and prominence are less when compared with Normal due to loss of elasticity in the airways. Whereas in COPD the base distance and prominence are found to be less than Normal, Asthma and Bronchiectasis which is attributed to multiple narrowing of the glottis.

Conclusion

Peak analysis of cough provides inferences which can be used as descriptors to differentiate coughs related to respiratory diseases.