Literature DB >> 9032516

The acoustic properties of capsaicin-induced cough in healthy subjects.

M J Doherty1, L J Wang, S Donague, M G Pearson, P Downs, S A Stoneman, J E Earis.   

Abstract

Acoustic analysis of cough both in the time and frequency domain has been reported using voluntary and spontaneous cough. The main aim of this study was to discover whether such analysis of capsaicin-induced cough enables differences between normal subjects to be recognized. We present data from 13 healthy subjects (with normal lung function and no history of respiratory disease) using a new method of acoustic analysis, which presents the data in three graphical forms: 1) spectrogram; 2) overall spectral energy, 3) root mean square (RMS) pressure plots. Using the RMS sound pressure traces, different subjects had either two peaks, a single peak or multiple peaks. The occurrence of single and multiple peaks has previously been associated with disease states but we found them in normal subjects. The number of peaks and the visual pattern of the spectrogram was reproducible within and specific to each individual over time. During a peal of coughs in a single expiration, the peak amplitude of successive coughs decreased as lung volume reduced. Despite similarities in the overall spectral energy between individuals, there were marked differences in the small visual details of the spectrograms. However, in an individual, these small details were remarkably constant both within and between days, and can be regarded as a "cough signature". This type of spectrographic analysis provides a new approach to the analysis both of normal and abnormal cough sounds, and has identified similarities and differences in capsaicin-induced cough in normal individuals. It has potential as a tool with which to study the pathophysiology of cough.

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Year:  1997        PMID: 9032516     DOI: 10.1183/09031936.97.10010202

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  4 in total

1.  A Cough-Based Algorithm for Automatic Diagnosis of Pertussis.

Authors:  Renard Xaviero Adhi Pramono; Syed Anas Imtiaz; Esther Rodriguez-Villegas
Journal:  PLoS One       Date:  2016-09-01       Impact factor: 3.240

2.  Classification of voluntary cough sound and airflow patterns for detecting abnormal pulmonary function.

Authors:  Ayman A Abaza; Jeremy B Day; Jeffrey S Reynolds; Ahmed M Mahmoud; W Travis Goldsmith; Walter G McKinney; E Lee Petsonk; David G Frazer
Journal:  Cough       Date:  2009-11-20

Review 3.  Global Physiology and Pathophysiology of Cough: Part 1: Cough Phenomenology - CHEST Guideline and Expert Panel Report.

Authors:  Kai K Lee; Paul W Davenport; Jaclyn A Smith; Richard S Irwin; Lorcan McGarvey; Stuart B Mazzone; Surinder S Birring
Journal:  Chest       Date:  2020-09-02       Impact factor: 9.410

4.  Sound: a non-invasive measure of cough intensity.

Authors:  Kai K Lee; Sergio Matos; Katie Ward; Gerrard F Rafferty; John Moxham; David H Evans; Surinder S Birring
Journal:  BMJ Open Respir Res       Date:  2017-05-12
  4 in total

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