Detection of sleep disordered breathing severity using acoustic biomarker and machine learning techn...
Detection of sleep disordered breathing severity using acoustic biomarker and machine learning techniques
About this item
Full title
Author / Creator
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
Breathing sounds during sleep are altered and characterized by various acoustic specificities in patients with sleep disordered breathing (SDB). This study aimed to identify acoustic biomarkers indicative of the severity of SDB by analyzing the breathing sounds collected from a large number of subjects during entire overnight sleep.
The particip...
Alternative Titles
Full title
Detection of sleep disordered breathing severity using acoustic biomarker and machine learning techniques
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_3bd485f10d174483867ea8606a9b5981
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3bd485f10d174483867ea8606a9b5981
Other Identifiers
ISSN
1475-925X
E-ISSN
1475-925X
DOI
10.1186/s12938-018-0448-x
