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Detection of sleep disordered breathing severity using acoustic biomarker and machine learning techniques
PURPOSE: 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...
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| Publicado no: | Biomed Eng Online |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5796501/ https://ncbi.nlm.nih.gov/pubmed/29391025 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12938-018-0448-x |
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