An automated system for 24-h monitoring of cough frequency: the leicester cough monitor.

The objective monitoring of cough for extended periods of time has long been recognized as an important step towards a better understanding of this symptom, and a better management of chronic cough patients. In this paper, we present a system for the automatic analysis of 24-h, continuous, ambulator...

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Asıl Yazarlar: Matos, S, Birring, S, Pavord, I, Evans, D
Materyal Türü: Journal article
Dil:English
Baskı/Yayın Bilgisi: 2007
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author Matos, S
Birring, S
Pavord, I
Evans, D
author_facet Matos, S
Birring, S
Pavord, I
Evans, D
author_sort Matos, S
collection OXFORD
description The objective monitoring of cough for extended periods of time has long been recognized as an important step towards a better understanding of this symptom, and a better management of chronic cough patients. In this paper, we present a system for the automatic analysis of 24-h, continuous, ambulatory recordings of cough. The system uses audio recordings from a miniature microphone and the detection algorithm is based on statistical models of the time-spectral characteristics of cough sounds. We validated the system against manual counts obtained by a trained observer on 40 ambulatory recordings and our results show a median sensitivity value of 85.7%, median positive predictive value of 94.7% and median false positive rate of 0.8 events/h. An analysis application was developed, with a graphical user interface, allowing the use of the system in clinical settings by technical or medical staff. The result of the analysis of a recording session is presented as a concise, graphical-based report. The modular nature of the system interface facilitates its enhancement with the integration of further modules.
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spelling oxford-uuid:6ccf27c8-43b8-489a-a4fc-c458eda07c0c2022-03-26T19:13:35ZAn automated system for 24-h monitoring of cough frequency: the leicester cough monitor.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:6ccf27c8-43b8-489a-a4fc-c458eda07c0cEnglishSymplectic Elements at Oxford2007Matos, SBirring, SPavord, IEvans, DThe objective monitoring of cough for extended periods of time has long been recognized as an important step towards a better understanding of this symptom, and a better management of chronic cough patients. In this paper, we present a system for the automatic analysis of 24-h, continuous, ambulatory recordings of cough. The system uses audio recordings from a miniature microphone and the detection algorithm is based on statistical models of the time-spectral characteristics of cough sounds. We validated the system against manual counts obtained by a trained observer on 40 ambulatory recordings and our results show a median sensitivity value of 85.7%, median positive predictive value of 94.7% and median false positive rate of 0.8 events/h. An analysis application was developed, with a graphical user interface, allowing the use of the system in clinical settings by technical or medical staff. The result of the analysis of a recording session is presented as a concise, graphical-based report. The modular nature of the system interface facilitates its enhancement with the integration of further modules.
spellingShingle Matos, S
Birring, S
Pavord, I
Evans, D
An automated system for 24-h monitoring of cough frequency: the leicester cough monitor.
title An automated system for 24-h monitoring of cough frequency: the leicester cough monitor.
title_full An automated system for 24-h monitoring of cough frequency: the leicester cough monitor.
title_fullStr An automated system for 24-h monitoring of cough frequency: the leicester cough monitor.
title_full_unstemmed An automated system for 24-h monitoring of cough frequency: the leicester cough monitor.
title_short An automated system for 24-h monitoring of cough frequency: the leicester cough monitor.
title_sort automated system for 24 h monitoring of cough frequency the leicester cough monitor
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