A new method for objectively evaluating childhood nocturnal cough

Hirai, Kota; Tabata, Hideyuki; Hirayama, Mariko; Kobayashi, Toshimitsu; Oh, Yasumasa; Mochizuki, Hiroyuki

doi:10.1002/ppul.23125

Cited by 12 publications

(9 citation statements)

References 25 publications

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“…11e13 We recently developed an original objective method to measure overnight cough in pediatric patients using a cough monitor, which is simple, safe, and effort independent. 14 Our system also demonstrates a good correlation with the natural cough counts obtained using the current gold standard: the video-audio method. 14 The aims of the present study were to classify the cough severity and to evaluate a characteristic pattern of cough frequency in children with asthma using an objective cough monitoring system.…”

Section: Introductionmentioning

confidence: 71%

“…18 Furthermore, the sensitivity and specificity of our system are 98.8% and 97.8%, respectively, which indicates that the method is reliable for the objective monitoring of nocturnal cough in children. 14 The precise results of the nocturnal cough count in each 30-minute interval may reveal new aspect about childhood cough.…”

Section: Discussionmentioning

confidence: 99%

“…We simultaneously used a highly sensitive accelerometer to evaluate the rapid muscle movement related to a cough. 14 The microphone and accelerometer do not have any effect on each other. The simultaneous detection of a cough by 2 sensors through a specific signal allows for its detailed evaluation.…”

Section: Cough Monitoring Systemmentioning

confidence: 98%

“…14 The software program used to calculate the number of cough sounds and the accelerometer were newly developed by our laboratory. A personal computer was used to perform the calculations.…”

Section: Cough Monitoring Systemmentioning

confidence: 99%

See 3 more Smart Citations

Objective measurement of frequency and pattern of nocturnal cough in children with asthma exacerbation

Hirai

Enseki

Tabata

et al. 2016

Annals of Allergy, Asthma & Immunology

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Section: Introductionmentioning

confidence: 71%

Section: Discussionmentioning

confidence: 99%

Section: Cough Monitoring Systemmentioning

confidence: 98%

Section: Cough Monitoring Systemmentioning

confidence: 99%

See 2 more Smart Citations

Objective measurement of frequency and pattern of nocturnal cough in children with asthma exacerbation

Hirai

Enseki

Tabata

et al. 2016

Annals of Allergy, Asthma & Immunology

Self Cite

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“…Chronic cough is common in old people, and the objective monitoring of chronic cough in the daily life helps to improve the quality of life of the aged with chronic cough [69,70]. Many doctors stress the importance of early diagnosis of childhood asthma and infantile pneumonia [71][72][73]. The objective cough assessment provides a probability for this situation.…”

Section: Future Application Of Audio-based Cough Monitoringmentioning

confidence: 99%

Theory and Application of Audio-Based Assessment of Cough

et al. 2018

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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.

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Automatic Non-Invasive Cough Detection based on Accelerometer and Audio Signals

Pahar

Miranda

Diacon

et al. 2022

J Sign Process Syst

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We present an automatic non-invasive way of detecting cough events based on both accelerometer and audio signals. The acceleration signals are captured by a smartphone firmly attached to the patient’s bed, using its integrated accelerometer. The audio signals are captured simultaneously by the same smartphone using an external microphone. We have compiled a manually-annotated dataset containing such simultaneously-captured acceleration and audio signals for approximately 6000 cough and 68000 non-cough events from 14 adult male patients. Logistic regression (LR), support vector machine (SVM) and multilayer perceptron (MLP) classifiers provide a baseline and are compared with three deep architectures, convolutional neural network (CNN), long short-term memory (LSTM) network, and residual-based architecture (Resnet50) using a leave-one-out cross-validation scheme. We find that it is possible to use either acceleration or audio signals to distinguish between coughing and other activities including sneezing, throat-clearing, and movement on the bed with high accuracy. However, in all cases, the deep neural networks outperform the shallow classifiers by a clear margin and the Resnet50 offers the best performance, achieving an area under the ROC curve (AUC) exceeding 0.98 and 0.99 for acceleration and audio signals respectively. While audio-based classification consistently offers better performance than acceleration-based classification, we observe that the difference is very small for the best systems. Since the acceleration signal requires less processing power, and since the need to record audio is sidestepped and thus privacy is inherently secured, and since the recording device is attached to the bed and not worn, an accelerometer-based highly accurate non-invasive cough detector may represent a more convenient and readily accepted method in long-term cough monitoring.

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A new method for objectively evaluating childhood nocturnal cough

Abstract: Our method demonstrated well agreement with the video-audio recording method in children, and is considered to be highly useful for the objective monitoring of overnight cough in children with respiratory diseases.

Cited by 12 publications

References 25 publications

Objective measurement of frequency and pattern of nocturnal cough in children with asthma exacerbation

Objective measurement of frequency and pattern of nocturnal cough in children with asthma exacerbation

Theory and Application of Audio-Based Assessment of Cough

Automatic Non-Invasive Cough Detection based on Accelerometer and Audio Signals

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