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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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| Vydáno v: | Biomed Eng Online |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BioMed Central
2018
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| Témata: | |
| On-line přístup: | 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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