Deep learning enhanced transmembranous electromyography in the diagnosis of sleep apnea

Deep learning enhanced transmembranous electromyography in the diagnosis of sleep apnea

Abstract Obstructive sleep apnea (OSA) is widespread, under-recognized, and under-treated, impacting the health and quality of life for millions. The current gold standard for sleep apnea testing is based on the in-lab sleep study, which is costly, cumbersome, not readily available and represents a...

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Bibliographic Details
Main Authors: Ross Mandeville, Hooman Sedghamiz, Perry Mansfield, Geoffrey Sheean, Chris Studer, Derrick Cordice, Ghodsieh Ghanbari, Atul Malhotra, Shamim Nemati, Jejo Koola
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Neuroscience
Subjects:
Deep learning in medicine
Audio spectral transformer
Sleep apnea diagnosis
Quantitative electromyography
Transmembranous EMG
Online Access:https://doi.org/10.1186/s12868-024-00913-9
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https://doi.org/10.1186/s12868-024-00913-9

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