利用咳嗽声的峰值能量分析识别呼吸系统疾病

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 Samuel P, Devasahayam Jesudas Christopher, Venkat Yechuri
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引用次数: 0

摘要

背景和目的 咳嗽是呼吸系统疾病的常见症状,咳嗽声的变化可以反映肺部的病理状况。最近对咳嗽声分析的进展表明,咳嗽声有可能被用作筛查哮喘、慢性肺阻塞性疾病(COPD)、间质性肺病(ILD)和支气管扩张等呼吸系统疾病的非侵入性标志物。能量包络可区分正常人和呼吸系统疾病患者。能量包络的峰值分析有助于量化这些疾病的特征变化。
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Identification of Respiratory Diseases using Peak Energy Analysis of Acoustic Cough
Background and Objectives Cough is a common symptom of respiratory diseases and change in the cough sound can reflect a pathological condition in the lungs. Recent advancement on 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, such as Asthma, Chronic Pulmonary Obstructive Disease (COPD), Interstitial Lung Disease (ILD) and Bronchiectasis. The energy envelope is distinguishable for normal subjects versus subjects with respiratory conditions. Peak analysis of the energy envelope helps in quantifying the feature variation for these conditions.
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