Abstract
Cough is a common symptom of many respiratory diseases. Many medical literatures underline that a system for the automatic, objective, and reliable detection of cough events is important and very promising to detect pathology severity in chronic cough disease. In order to track the development status of an audio-based cough monitoring system, we briefly described the history of objective cough detection and then illustrated the cough sound generating principle. The probable endpoints of cough clinical studies, including cough frequency, intensity of coughing, and acoustic properties of cough sound, were analyzed in this paper. Finally, we introduce some successful cough monitoring equipment and their recognition algorithm in detail. It can be obtained that, firstly, acoustic variability of cough sounds within and between individuals makes it difficult to assess the intensity of coughing. Furthermore, now great progress in audio-based cough detection is being made. Moreover, accurate portable objective monitoring systems will be available and widely used in home care and clinical trials in the near future.
Highlights
Cough is a common but complicated symptom of respiratory diseases
The assessment of cough severity is subjective at present: it contains visual analogue scales (VAS), health-related quality of life (HRQOL), Leicester cough questionnaire (LCQ), cough-specific quality of life questionnaire (CQLQ), and so on [8, 9]
Several features have been successfully applied to monitor cough events, including mel-frequency cepstral coefficients (MFCCs) and the characteristic parameters learned by the convolutional neural network (CNN)
Summary
Cough is a common but complicated symptom of respiratory diseases. This symptom is the very reason why people seek medical advice in America and China [1, 2]. The assessment of cough severity is subjective at present: it contains visual analogue scales (VAS), health-related quality of life (HRQOL), Leicester cough questionnaire (LCQ), cough-specific quality of life questionnaire (CQLQ), and so on [8, 9]. They have been validated in chronic or acute cough in clinical trials [9]. One is based on the airflow measurement at the mouth to obtain the flow dynamics of cough [14, 15] This method is not suitable for continuous monitoring in the outpatient environment [16]. This article focuses on audio-based methods and systems for the analysis and measurement of cough
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