Continuous Sound Collection Using Smartphones and Machine Learning to Measure Cough
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Continuous Sound Collection Using Smartphones and Machine Learning to Measure Cough ; volume:3 ; number:3 ; year:2019 ; pages:166-175
Digital biomarkers ; 3, Heft 3 (2019), 166-175
- Creator
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Kvapilova, Lucia
Boza, Vladimir
Dubec, Peter
Majernik, Martin
Bogar, Jan
Jamison, Jamileh
Goldsack, Jennifer C.
Kimmel, Duncan J.
Karlin, Daniel R.
- DOI
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10.1159/000504666
- URN
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urn:nbn:de:101:1-2020011600005086161611
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:03 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kvapilova, Lucia
- Boza, Vladimir
- Dubec, Peter
- Majernik, Martin
- Bogar, Jan
- Jamison, Jamileh
- Goldsack, Jennifer C.
- Kimmel, Duncan J.
- Karlin, Daniel R.
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A portable automatic cough analyser in the ambulatory assessment of cough
Continuous Sound Collection Using Smartphones and Machine Learning to Measure Cough
Continuous Cough Monitoring Using Ambient Sound Recording During Convalescence from a COPD Exacerbation
The description of cough sounds by healthcare professionals
Cough sound-based estimation of vital capacity via cough peak flow using artificial neural network analysis
A dataset of Solicited Cough Sound for Tuberculosis Triage Testing
Cough
Identifying unique spectral fingerprints in cough sounds for diagnosing respiratory ailments
Pegasus: sound continuous invariant generation
Classification of voluntary cough sound and airflow patterns for detecting abnormal pulmonary function
Screening COVID-19 by Swaasa AI platform using cough sounds: a cross-sectional study
Past and trends in cough sound acquisition, automatic detection and automatic classification: a comparative review