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461 results for “cough”
The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms
<p><strong>Overview</strong></p> <p>Cough audio signal classification has been successfully used to diagnose a variety of respiratory conditions, and there has been significant interest in leveraging Machine Learning (ML) to provide widespread COVID-19 screening. The COUGHVID dataset provides over 30,000 crowdsourced cough recordings representing a wide range of subject ages, genders, geographic locations, and COVID-19 statuses. Furthermore, experienced pulmonologists labeled more than 2,000 recordings to diagnose medical abnormalities present in the coughs, thereby contributing one of the largest expert-labeled cough datasets in existence that can be used for a plethora of cough audio classification tasks. As a result, the COUGHVID dataset contributes a wealth of cough recordings for training ML models to address the world’s most urgent health crises.</p> <p><strong>Private Set and Testing Protocol</strong></p> <p>Researchers interested in testing their models on the private test dataset should contact us at coughvid@epfl.ch, briefly explaining the type of validation they wish to make, and their obtained results obtained through cross-validation with the public data. Then, access to the unlabeled recordings will be provided, and the researchers should send the predictions of their models on these recordings. Finally, the performance metrics of the predictions will be sent to the researchers. The private testing data is not included in any file within our Zenodo record, and it can only be accessed by contacting the COUGHVID team at the aforementioned e-mail address.</p> <p><strong>New Semi-Supervised Labeling</strong></p> <p>The third version of the COUGHVID dataset contains thousands of additional recordings obtained through October 2021. Additionally, the recordings containing coughs were re-labeled according to a semi-supervised learning algorithm that combined the user labels with those of the expert physicians, which were modeled using ML and expanded on the previously unlabeled data. These labels can be found in the "status_SSL" column of the "metadata_compiled.csv" file.</p>
Dataset for "A computational fluid dynamics—Population balance equation approach for evaporating cough droplets transport"
<p>Dataset for figures and tables of the article "A computational fluid dynamics—Population balance equation approach for evaporating cough droplets transport" submitted to "International Journal of Multiphase Flow".</p>
Data from: Cough reflex sensitivity and urge-to-cough deterioration in dementia with Lewy bodies
Cough, an important respiratory symptom, predominantly involves the brainstem, and the urge-to-cough is modulated by the cerebral cortex. Lewy body disease is associated with decreased cough reflex sensitivity and central respiratory chemosensitivity. Additionally, the insula, associated with the urge-to-cough, shows decreased activation and atrophy in dementia with Lewy bodies (DLB). We investigated the relationships between cognition and cough reflex and the urge-to-cough and compared the differences in responses of patients with DLB and other dementia subtypes. We conducted a cross-sectional study within a geriatric ward of a university hospital involving elderly patients diagnosed with Alzheimer's disease (AD), DLB, or non-dementia (controls). The cough reflex sensitivities were estimated based on the lowest concentrations of inhaled citric acid that could induce ≥2 coughs (C2) or ≥5 coughs (C5). Subjects were asked to rate the urge-to-cough based on the threshold concentrations (Cu) using the modified Borg scale. C2, C5, and Cu were negatively correlated with cognitive function in female participants but not in males (P<0.01). The cough reflex sensitivity expressed as C2 and C5 were significantly higher in the DLB group than in the AD and control groups (P<0.01 adjusted for gender). The urge-to-cough threshold expressed as Cu was also significantly higher, while the urge-to-cough log–log slope was less responsive with the increasing cough-evoking stimuli in the DLB group than that in the other groups. The cough reflex sensitivity and perceived urge-to-cough deteriorated in the DLB group than in the other groups. This result might be valuable in treating patients with DLB.
full_cough_2_d_coswara_coughvid_features
<p>Features extracted from Coswara and COUGHVID datasets: Mel-spectrogram, MFCC 13, 26, 39</p>
Coughs: ESC-50 and FSDKaggle2018
<p>This dataset consists of timestamps for coughs contained in files extracted from the <a href="https://github.com/karolpiczak/ESC-50">ESC-50</a> and <a href="https://zenodo.org/record/2552860#.YPip9kBRUZg">FSDKaggle2018</a> datasets.</p> <p><strong>Citation</strong></p> <p>This dataset was generated and used in our paper:</p> <blockquote> <p>Mahmoud Abdelkhalek, Jinyi Qiu, Michelle Hernandez, Alper Bozkurt, Edgar Lobaton, “Investigating the Relationship between Cough Detection and Sampling Frequency for Wearable Devices,” in the 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2021.</p> </blockquote> <p>Please cite this paper if you use the <em>timestamps.csv </em>file in your work.</p> <p><strong>Generation</strong></p> <p>The cough timestamps given in the <em>timestamps.csv</em> file were generated using the cough templates given in figures 3 and 4 in the paper:</p> <blockquote> <p>A. H. Morice, G. A. Fontana, M. G. Belvisi, S. S. Birring, K. F. Chung, P. V. Dicpinigaitis, J. A. Kastelik, L. P. McGarvey, J. A. Smith, M. Tatar, J. Widdicombe, "ERS guidelines on the assessment of cough", European Respiratory Journal 2007 29: 1256-1276; DOI: 10.1183/09031936.00101006</p> </blockquote> <p>More precisely, 40 files labelled as "coughing" in the ESC-50 dataset and 273 files labelled as "Cough" in the FSDKaggle2018 dataset were manually searched using <a href="https://www.audacityteam.org/">Audacity</a> for segments of audio that closely matched the aforementioned templates, both visually and auditorily. Some files did not contain any coughs at all, while other files contained several coughs. Therefore, only the files that contained at least one cough are included in the <em>coughs</em> directory. In total, the timestamps of 768 cough segments with lengths ranging from 0.2 seconds to 0.9 seconds were extracted.</p> <p><strong>Description</strong></p> <p>The audio files are presented in <em>wav</em> format in the <em>coughs</em> directory. Files named in the general format of "*-*-*-24.wav" were extracted from the ESC-50 dataset, while all other files were extracted from the FSDKaggle2018 dataset.</p> <p>The <em>timestamps.csv</em> file contains the timestamps for the coughs and it consists of four columns:</p> <pre><code>file_name,cough_number,start_time,end_time</code></pre> <p>Files in the <em>file_name</em> column can be found in the <em>coughs</em> directory. <em>cough_number</em> refers to the index of the cough in the corresponding file. For example, if the file <em>X.wav</em> contains 5 coughs, then <em>X.wav</em> will be repeated 5 times under the <em>file_name</em> column, and for each row, the <em>cough_number</em> will range from 1 to 5. <em>start_time</em> refers to the starting time of a cough segment measured in seconds, while <em>end_time</em> refers to the end time of a cough segment measured in seconds.</p> <p><strong>Licensing</strong></p> <p>The ESC-50 dataset as a whole is licensed under the <a href="https://creativecommons.org/licenses/by-nc/3.0/">Creative Commons Attribution-NonCommercial license</a>. Individual files in the ESC-50 dataset are licensed under different Creative Commons licenses. For a list of these licenses, see <a href="https://github.com/karolpiczak/ESC-50/blob/master/LICENSE">LICENSE</a>. The ESC-50 files in the <em>cough</em> directory are given for convenience only, and have not been modified from their original versions. To download the original files, see the <a href="https://github.com/karolpiczak/ESC-50">ESC-50</a> dataset.</p> <p>The FSDKaggle2018 dataset as a whole is licensed under the <a href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International license</a>. Individual files in the FSDKaggle2018 dataset are licensed under different Creative Commons licenses. For a list of these licenses, see the <em>License</em> section in <a href="https://zenodo.org/record/2552860">FSDKaggle2018</a>. The FSDKaggle2018 files in the <em>cough</em> directory are given for convenience only, and have not been modified from their original versions. To download the original files, see the <a href="https://zenodo.org/record/2552860">FSDKaggle2018</a> dataset.</p> <p>The <em>timestamps.csv</em> file is licensed under the <a href="https://creativecommons.org/licenses/by-nc/4.0/">Creative Commons Attribution-NonCommercial 4.0 International license</a>.</p>
Data from: Computer-aided X-ray screening for tuberculosis and HIV testing among adults with cough in Malawi (the PROSPECT study): a randomized trial and cost-effectiveness analysis
<p>Suboptimal tuberculosis (TB) diagnostics and HIV contribute to the high global burden of TB. We investigated costs and yield from systematic HIV-TB screening, including computer-aided digital chest X-ray (DCXR-CAD). Suboptimal tuberculosis (TB) diagnostics and HIV contribute to the high global burden of TB. We investigated costs and yield from systematic HIV-TB screening, including computer-aided digital chest X-ray (DCXR-CAD).</p> <p>In this open, three-arm randomised trial, adults (≥18 years) with cough attending acute primary services in Malawi were randomised (1:1:1) to standard-of-care (SOC); oral HIV testing (HIV screening) and linkage to care; or HIV testing and linkage to care plus DCXR-CAD with sputum Xpert for high CAD4TBv5 scores (HIV-TB screening). Participants and study staff were not blinded to intervention allocation, but investigator blinding was maintained until final analysis. The primary outcome was time to TB treatment. Secondary outcomes included proportion with same-day TB treatment; prevalence of undiagnosed/untreated bacteriologically-confirmed TB on day 56; and undiagnosed/untreated HIV. Analysis was done on an intention to treat basis. Cost-effectiveness analysis used a health-provider perspective. Between 15/11/2018-27/11/2019, 8236 were screened for eligibility, with 473, 492, and 497 randomly allocated to SOC, HIV, and HIV-TB screening arms; 53 (11%), 52 (9%), and 47 (9%) were lost to follow-up, respectively. At 56 days, TB treatment had been started in 5 (1.1%) SOC, 8 (1.6%) HIV-screening, and 15 (3.0%) HIV-TB screening participants. Median (IQR) time to TB treatment was 11 (6.5-38), 6 (1-22) and 1 (0-3) days (hazard ratio for HIV-TB vs. SOC: 2.86, 1.04-7.87), with same-day treatment of 0/5 (0%) SOC, 1/8 (12.5%) HIV, and 6/15 (40.0%) HIV-TB screening arm TB patients (p=0.03). At day 56, 2 SOC (0.5%), 4 HIV (1.0%), and 2 HIV-TB (0.5%) participants had undiagnosed microbiologically-confirmed TB. HIV screening reduced the proportion with undiagnosed or untreated HIV from 10 (2.7%) in the SOC arm to 2 (0.5%) in the HIV-screening arm (risk ratio [RR]: 0.18, 0.04-0.83), and 1 (0.2%) in the HIV-TB screening arm (RR: 0.09, 0.01-0.71). Incremental costs were US$3.58 and US$19.92 per participant screened for HIV and HIV-TB; the probability of cost-effectiveness at a US$1200/quality-adjusted life-year (QALY) threshold were 83.9% and 0%. Main limitations were the lower than anticipated prevalence of tuberculosis and short participant follow-up period; cost and quality of life benefits of this screening approach may accrue over a longer time horizon.</p> <p>DCXR-CAD with universal HIV screening significantly increased the timeliness and completeness of HIV and TB diagnosis. If implemented at scale this has potential to rapidly and efficiently improve TB and HIV diagnosis and treatment.</p>
A Study of Gefapixant (MK-7264) in Japanese Adult Participants With Refractory or Unexplained Chronic Cough (MK-7264-038)
ClinicalTrials.gov study NCT03696108. IPD Sharing: YES. Countries: 1. Publications: 1.
Efficacy and Safety of Gefapixant (MK-7264) in Adult Participants With Recent Onset Chronic Cough (MK-7264-043)
ClinicalTrials.gov study NCT04193202. IPD Sharing: YES. Countries: 12. Publications: 1.
A Study of Gefapixant (MK-7264) in Adult Participants With Chronic Cough (MK-7264-030)
ClinicalTrials.gov study NCT03449147. IPD Sharing: YES. Countries: 20. Publications: 2.
Functional Magnetic Resonance Imaging of ATP Cough in Chronic Cough Patients
ClinicalTrials.gov study NCT03722849. IPD Sharing: NO. Countries: 1. Publications: 6.
Bronchial Hyper-responsiveness in Reflux Cough
ClinicalTrials.gov study NCT00668317. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The Effect of N115 on Coughing in IPF Patients
ClinicalTrials.gov study NCT06037408. IPD Sharing: NO. Countries: 1. Publications: 1.
Effect of BDP/Formoterol/G on Cough Efficacy in Moderate to Severe COPD Patients (EFFICACE)
ClinicalTrials.gov study NCT05114434. IPD Sharing: YES. Countries: 1. Publications: 14.
Spinal Cord Stimulation to Restore Cough
ClinicalTrials.gov study NCT00116337. IPD Sharing: Not stated. Countries: 1. Publications: 14.
Airway Limitation Study: Study In Primary Care Centers Of Chronic Bronchitis In Long-Term Cigarette Smokers Of At Least 40 Years Of Age With Symptoms Of Cough And Shortness Of Breath
ClinicalTrials.gov study NCT00442468. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study of Gefapixant (MK-7264) in Acute Cough for Participants With Induced Viral Upper Respiratory Tract Infection (URTI) (MK-7264-013)
ClinicalTrials.gov study NCT03569033. IPD Sharing: YES. Countries: 1. Publications: 1.
Cough Reduction in IPF With Nalbuphine ER
ClinicalTrials.gov study NCT05964335. IPD Sharing: NO. Countries: 10. Publications: 1.
Respiratory Kinematics of Cough in Healthy Older Adults and Parkinson's Disease
ClinicalTrials.gov study NCT02183519. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Treatment of Chronic Cough in Idiopathic Pulmonary Fibrosis With Thalidomide
ClinicalTrials.gov study NCT00600028. IPD Sharing: NO. Countries: 1. Publications: 1.
Pertussis Infection in Adolescents and Adults With Prolonged Cough
ClinicalTrials.gov study NCT01597687. IPD Sharing: NO. Countries: 3. Publications: 1.
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OpenNeuro
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