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Romero et al., 2020 - Google Patents

0573 Screening for obstructive sleep apnea at home based on deep learning features derived from respiration sounds

Romero et al., 2020

Document ID
3156648407587767307
Author
Romero H
Ma N
Hill E
Brown G
Publication year
Publication venue
Sleep

External Links

Snippet

Introduction Analysis of sleep breathing sounds has been employed to screen obstructive sleep apnea (OSA). However, most current methods rely on specialized equipment (eg, tracheal microphones), require additional physiological data (eg, oxygen saturation), are …
Continue reading at academic.oup.com (other versions)

Classifications

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    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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