Validation of an Automated Cough Detection Algorithm for Tracking Recovery of Pulmonary Tuberculosis Patients

Larson, Sandra; Comina, Germán; Gilman, Robert H.; Tracey, Brian H.; Bravard, Marjory A.; López, José W.

doi:10.1371/journal.pone.0046229

Cited by 53 publications

(65 citation statements)

References 14 publications

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“…Several previous studies have proposed methods to monitor cough frequency using a microphone [15,16,17,18,19,20,21,22] but not to monitor cough ability. If the assessment of the cough ability by cough sounds is feasible, it can be applied to patients in whom obtaining cough peak flow measurements using the current method is difficult.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Cough Peak Flow Using Cough Sounds

Umayahara

Soh

Sekikawa

et al. 2018

Sensors

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Cough peak flow (CPF) is a measurement for evaluating the risk of cough dysfunction and can be measured using various devices, such as spirometers. However, complex device setup and the face mask required to be firmly attached to the mouth impose burdens on both patients and their caregivers. Therefore, this study develops a novel cough strength evaluation method using cough sounds. This paper presents an exponential model to estimate CPF from the cough peak sound pressure level (CPSL). We investigated the relationship between cough sounds and cough flows and the effects of a measurement condition of cough sound, microphone type and participant’s height and gender on CPF estimation accuracy. The results confirmed that the proposed model estimated CPF with a high accuracy. The absolute error between CPFs and estimated CPFs were significantly lower when the microphone distance from the participant’s mouth was within 30 cm than when the distance exceeded 30 cm. Analysis of the model parameters showed that the estimation accuracy was not affected by participant’s height or gender. These results indicate that the proposed model has the potential to improve the feasibility of measuring and assessing CPF.

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Section: Introductionmentioning

confidence: 99%

Estimation of Cough Peak Flow Using Cough Sounds

Umayahara

Soh

Sekikawa

et al. 2018

Sensors

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“… 20–25 While algorithms for cough counting have been validated, 26–30 our research protocol appears to be the first to do so specifically in patients with pulmonary TB. 31 32 …”

Section: Introductionmentioning

confidence: 99%

Protocol for studying cough frequency in people with pulmonary tuberculosis

Proaño

Bravard²,

Tracey

et al. 2016

BMJ Open

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IntroductionCough is a key symptom of tuberculosis (TB) as well as the main cause of transmission. However, a recent literature review found that cough frequency (number of coughs per hour) in patients with TB has only been studied once, in 1969. The main aim of this study is to describe cough frequency patterns before and after the start of TB treatment and to determine baseline factors that affect cough frequency in these patients. Secondarily, we will evaluate the correlation between cough frequency and TB microbiological resolution.MethodsThis study will select participants with culture confirmed TB from 2 tertiary hospitals in Lima, Peru. We estimated that a sample size of 107 patients was sufficient to detect clinically significant changes in cough frequency. Participants will initially be evaluated through questionnaires, radiology, microscopic observation drug susceptibility broth TB-culture, auramine smear microscopy and cough recordings. This cohort will be followed for the initial 60 days of anti-TB treatment, and throughout the study several microbiological samples as well as 24 h recordings will be collected. We will describe the variability of cough episodes and determine its association with baseline laboratory parameters of pulmonary TB. In addition, we will analyse the reduction of cough frequency in predicting TB cure, adjusted for potential confounders.Ethics and disseminationEthical approval has been obtained from the ethics committees at each participating hospital in Lima, Peru, Asociación Benéfica PRISMA in Lima, Peru, the Universidad Peruana Cayetano Heredia in Lima, Peru and Johns Hopkins University in Baltimore, USA. We aim to publish and disseminate our findings in peer-reviewed journals. We also expect to create and maintain an online repository for TB cough sounds as well as the statistical analysis employed.

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“…Therefore, we propose a novel simple evaluation system for evaluating cough ability using cough sounds without the use of the facemask or the filter. Several previous studies have proposed methods to monitor cough frequency using a microphone [15][16][17][18][19][20][21][22], but not to monitor cough ability.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Cough Peak Flow Using Cough Sounds

Umayahara

Soh

Sekikawa

et al. 2018

Preprint

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Cough peak flow (CPF) is a measurement to evaluate the risk of cough dysfunction and can be measured using various devices, such as spirometers. However, complex device setup and the face mask required to be firmly attached to the mouth impose burdens on both patients and their caregivers. Therefore, this study develops a novel cough strength evaluation method using cough sounds. This paper presents an exponential model to estimate CPF from the cough peak sound pressure level (CPSL). We investigated the relationship between cough sounds and cough flows and the effects of a measurement condition of cough sound, microphone type, and participant’s height and gender on CPF estimation accuracy. The results confirmed that the proposed model estimated CPF with a high accuracy. The absolute error between CPFs and estimated CPFs were significantly lower when the microphone distance from the participant’s mouth was within 30 cm than when the distance exceeded 30 cm. Analysis of the model parameters showed that the estimation accuracy was not affected by participant’s height or gender. These results indicate that the proposed model has the potential to improve the feasibility of measuring and assessing CPF.

show abstract

Validation of an Automated Cough Detection Algorithm for Tracking Recovery of Pulmonary Tuberculosis Patients

Cited by 53 publications

References 14 publications

Estimation of Cough Peak Flow Using Cough Sounds

Estimation of Cough Peak Flow Using Cough Sounds

Protocol for studying cough frequency in people with pulmonary tuberculosis

Estimation of Cough Peak Flow Using Cough Sounds

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