Estimating Lung Volume During Cough: A Comparison of Respiratory Calibration Tasks and Methodologies.
Saved in:
| Title: | Estimating Lung Volume During Cough: A Comparison of Respiratory Calibration Tasks and Methodologies. |
|---|---|
| Authors: | Borders, James C.1 bordersj@bu.edu, Huber, Jessica E.2, Troche, Michelle S.3 |
| Source: | Journal of Speech, Language & Hearing Research. Sep2025, Vol. 68 Issue 9, p4290-4296. 7p. |
| Subject Terms: | *Data analysis, *Movement disorders, *Experimental design, *Factor analysis, *Comparative studies, *Evaluation, Statistical power analysis, Plethysmography, Abdomen, Research funding, Disease duration, Spirometry, Cronbach's alpha, Respiration, Parkinson's disease, Descriptive statistics, Lung volume measurements, Statistics, Neuropsychological tests, Cough, Calibration, Airway (Anatomy), Confidence intervals |
| Geographic Terms: | United States |
| Abstract: | Purpose: Effective cough function requires sufficient respiratory support. To estimate lung volume, respiratory inductance plethysmography measures circumferential changes of the rib cage (RC) and abdomen (AB) during various behaviors, such as coughing. During speech breathing, the accuracy of these estimates is influenced by calibration tasks and analysis methods. Measurement error can introduce bias and confound results, yet the optimal approach for assessing lung volume during cough remains unclear. Method: Twenty participants with Parkinson's disease (Mage = 69 years; M disease duration = 11.39 years) completed three respiratory calibration tasks: (a) rest breathing, (b) cough-like breathing ("breathe in like you're going to cough, then breathe out forcefully without coughing"), and (c) single voluntary coughs ("cough hard one time"). Lung volume estimation error was calculated by comparing the estimated lung volume signal to the spirometry signal across tasks and task combinations. Error was also assessed across three analysis methods: the Banzett method (2:1 weighting for RC and AB) and two least squares methods--one correcting for both the RC and AB signals (LsqRC/AB) and another holding the AB constant (LsqRC). Results: Mean lung volume estimation error was 4.68% for LsqRC/AB, 9.88% for LsqRC, and 14.24% for the Banzett method. LsqRC/AB yielded significantly lower estimation error than both the LsqRC (p < .001, d = -1.14) and Banzett methods (p < .001, d = 1.69). Calibration task had no significant effect on estimation error (p = .889). Conclusions: The least squares method correcting for both the RC and AB (LsqRC/AB) provides the most precise lung volume estimates during cough. Error associated with the Banzett method exceeded previously reported values for speech breathing by more than 50%. Additional calibration tasks beyond rest breathing may not be necessary to meaningfully reduce lung volume error for cough measurement. Open Science Form: https://doi.org/10.23641/asha.29657360 [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: ehh DbLabel: Education Research Complete An: 187881685 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Estimating Lung Volume During Cough: A Comparison of Respiratory Calibration Tasks and Methodologies. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Borders%2C+James+C%2E%22">Borders, James C.</searchLink><relatesTo>1</relatesTo><i> bordersj@bu.edu</i><br /><searchLink fieldCode="AR" term="%22Huber%2C+Jessica+E%2E%22">Huber, Jessica E.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Troche%2C+Michelle+S%2E%22">Troche, Michelle S.</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Speech%2C+Language+%26+Hearing+Research%22">Journal of Speech, Language & Hearing Research</searchLink>. Sep2025, Vol. 68 Issue 9, p4290-4296. 7p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Movement+disorders%22">Movement disorders</searchLink><br />*<searchLink fieldCode="DE" term="%22Experimental+design%22">Experimental design</searchLink><br />*<searchLink fieldCode="DE" term="%22Factor+analysis%22">Factor analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink><br />*<searchLink fieldCode="DE" term="%22Evaluation%22">Evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+power+analysis%22">Statistical power analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Plethysmography%22">Plethysmography</searchLink><br /><searchLink fieldCode="DE" term="%22Abdomen%22">Abdomen</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+duration%22">Disease duration</searchLink><br /><searchLink fieldCode="DE" term="%22Spirometry%22">Spirometry</searchLink><br /><searchLink fieldCode="DE" term="%22Cronbach's+alpha%22">Cronbach's alpha</searchLink><br /><searchLink fieldCode="DE" term="%22Respiration%22">Respiration</searchLink><br /><searchLink fieldCode="DE" term="%22Parkinson's+disease%22">Parkinson's disease</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Lung+volume+measurements%22">Lung volume measurements</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Neuropsychological+tests%22">Neuropsychological tests</searchLink><br /><searchLink fieldCode="DE" term="%22Cough%22">Cough</searchLink><br /><searchLink fieldCode="DE" term="%22Calibration%22">Calibration</searchLink><br /><searchLink fieldCode="DE" term="%22Airway+%28Anatomy%29%22">Airway (Anatomy)</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: Effective cough function requires sufficient respiratory support. To estimate lung volume, respiratory inductance plethysmography measures circumferential changes of the rib cage (RC) and abdomen (AB) during various behaviors, such as coughing. During speech breathing, the accuracy of these estimates is influenced by calibration tasks and analysis methods. Measurement error can introduce bias and confound results, yet the optimal approach for assessing lung volume during cough remains unclear. Method: Twenty participants with Parkinson's disease (Mage = 69 years; M disease duration = 11.39 years) completed three respiratory calibration tasks: (a) rest breathing, (b) cough-like breathing ("breathe in like you're going to cough, then breathe out forcefully without coughing"), and (c) single voluntary coughs ("cough hard one time"). Lung volume estimation error was calculated by comparing the estimated lung volume signal to the spirometry signal across tasks and task combinations. Error was also assessed across three analysis methods: the Banzett method (2:1 weighting for RC and AB) and two least squares methods--one correcting for both the RC and AB signals (LsqRC/AB) and another holding the AB constant (LsqRC). Results: Mean lung volume estimation error was 4.68% for LsqRC/AB, 9.88% for LsqRC, and 14.24% for the Banzett method. LsqRC/AB yielded significantly lower estimation error than both the LsqRC (p < .001, d = -1.14) and Banzett methods (p < .001, d = 1.69). Calibration task had no significant effect on estimation error (p = .889). Conclusions: The least squares method correcting for both the RC and AB (LsqRC/AB) provides the most precise lung volume estimates during cough. Error associated with the Banzett method exceeded previously reported values for speech breathing by more than 50%. Additional calibration tasks beyond rest breathing may not be necessary to meaningfully reduce lung volume error for cough measurement. Open Science Form: https://doi.org/10.23641/asha.29657360 [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=187881685 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1044/2025_JSLHR-25-00237 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 4290 Subjects: – SubjectFull: Data analysis Type: general – SubjectFull: Movement disorders Type: general – SubjectFull: Experimental design Type: general – SubjectFull: Factor analysis Type: general – SubjectFull: Comparative studies Type: general – SubjectFull: Evaluation Type: general – SubjectFull: Statistical power analysis Type: general – SubjectFull: Plethysmography Type: general – SubjectFull: Abdomen Type: general – SubjectFull: Research funding Type: general – SubjectFull: Disease duration Type: general – SubjectFull: Spirometry Type: general – SubjectFull: Cronbach's alpha Type: general – SubjectFull: Respiration Type: general – SubjectFull: Parkinson's disease Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Lung volume measurements Type: general – SubjectFull: Statistics Type: general – SubjectFull: Neuropsychological tests Type: general – SubjectFull: Cough Type: general – SubjectFull: Calibration Type: general – SubjectFull: Airway (Anatomy) Type: general – SubjectFull: Confidence intervals Type: general – SubjectFull: United States Type: general Titles: – TitleFull: Estimating Lung Volume During Cough: A Comparison of Respiratory Calibration Tasks and Methodologies. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Borders, James C. – PersonEntity: Name: NameFull: Huber, Jessica E. – PersonEntity: Name: NameFull: Troche, Michelle S. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 10924388 Numbering: – Type: volume Value: 68 – Type: issue Value: 9 Titles: – TitleFull: Journal of Speech, Language & Hearing Research Type: main |
| ResultId | 1 |