Skip directly to search Skip directly to A to Z list Skip directly to page options Skip directly to site content

NIOSHTIC-2 Publications Search

Search Results

Prediction of spirometric evaluations based on cough flow.

Goldsmith-WT; Reynolds-JS; Day-JB; Kashon-MK; Frazer-D
Am J Respir Crit Care Med 2013 May; 187(Meeting Abstracts):A1919
RATIONALE: Pulmonary function tests (PFTs) based on spirometric data are used extensively to assist in the diagnosis of lung disease. Many PFTs require the subject to perform a maximal forced expiratory maneuver which can be difficult to impossible for certain populations (infants, elderly, extremely sick). The purpose of this study was to determine if the airflow produced during a cough could be used to predict spirometric abnormalities. METHODS: Spirometery was conducted on subjects (n=107) in the pulmonary function laboratory of Ruby Memorial Hospital. The FEV1, FVC and FEV1/FVC values for each subject were calculated and were considered normal if they were greater than the lower limits determined by Hankinson et al. (Am J Respir Crit Care Med. 159(1):179-187, 1999). Airflow patterns generated during voluntary coughs were then recorded using a unique system that could simultaneously measure cough sounds and airflow properties (Goldsmith et al., Ann of Biomed Eng. 38(2): 469-477, 2010). Twenty-one features were calculated from the cough flow signal (peak flow, volume, etc.) and four features were based on subject demographics (weight, height, age and gender). Feature selection and a support vector machine were implemented within a genetic algorithm to classify subjects as having either normal or abnormal FEV1 , FVC and FEV1/FVC values based on their coughs. A double nested cross-validation technique was used to evaluate the prediction accuracy of this type of classifier. RESULTS: The accuracy of the classifier was 78%, 65%, and 80% for FEV1, FVC and FEV1/FVC values, respectively. CONCLUSION: Cough flow signals contain information that can be used to predict whether a subject will produce abnormal FEV1, FVC and FEV1/FVC measurements during spirometery.
Pulmonary-function-tests; Spirometry; Respiratory-system-disorders; Pulmonary-system-disorders; Lung-disease; Airway-obstruction; Vital-capacity; Diagnostic-tests; Humans; Air-flow; Equipment-reliability; Performance-capability; Measurement-equipment; Diagnostic-techniques; Analytical-instruments
W. T. Goldsmith, National Institute for Occupational Safety and Health, Morgantown, WV
Publication Date
Document Type
Email Address
Fiscal Year
NTIS Accession No.
NTIS Price
NIOSH Division
Priority Area
Construction; Manufacturing
Source Name
American Journal of Respiratory and Critical Care Medicine