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Detection of Mouse Cough Based on Sound Monitoring and Respiratory Airflow Waveforms

Overview of attention for article published in PLOS ONE, March 2013
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Title
Detection of Mouse Cough Based on Sound Monitoring and Respiratory Airflow Waveforms
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0059263
Pubmed ID
Authors

Liyan Chen, Kefang Lai, Joseph Mark Lomask, Bert Jiang, Nanshan Zhong

Abstract

Detection for cough in mice has never yielded clearly audible sounds, so there is still a great deal of debates as to whether mice can cough in response to tussive stimuli. Here we introduce an approach for detection of mouse cough based on sound monitoring and airflow signals. 40 Female BALB/c mice were pretreated with normal saline, codeine, capasazepine or desensitized with capsaicin. Single mouse was put in a plethysmograph, exposed to aerosolized 100 µmol/L capsaicin for 3 min, followed by continuous observation for 3 min. Airflow signals of total 6 min were recorded and analyzed to detect coughs. Simultaneously, mouse cough sounds were sensed by a mini-microphone, monitored manually by an operator. When manual and automatic detection coincided, the cough was positively identified. Sound and sound waveforms were also recorded and filtered for further analysis. Body movements were observed by operator. Manual versus automated counts were compared. Seven types of airflow signals were identified by integrating manual and automated monitoring. Observation of mouse movements and analysis of sound waveforms alone did not produce meaningful data. Mouse cough numbers decreased significantly after all above drugs treatment. The Bland-Altman and consistency analysis between automatic and manual counts was 0.968 and 0.956. The study suggests that the mouse is able to present with cough, which could be detected by sound monitoring and respiratory airflow waveform changes.

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The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
France 1 2%
Unknown 57 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 22%
Student > Master 6 10%
Student > Ph. D. Student 5 8%
Professor 3 5%
Student > Bachelor 3 5%
Other 8 14%
Unknown 21 36%
Readers by discipline Count As %
Medicine and Dentistry 10 17%
Immunology and Microbiology 6 10%
Agricultural and Biological Sciences 5 8%
Neuroscience 4 7%
Engineering 4 7%
Other 8 14%
Unknown 22 37%