Article

Advanced Data Framework for Sleep Medicine Applications: Machine Learning-Based Detection of Sleep Apnea Events

2024-11-21

Abstract excerpt

Obstructive Sleep Apnea (OSA) is a prevalent condition that disrupts sleep quality and contributes to significant health risks, necessitating accurate and efficient diagnostic methods. This study introduces a machine learning-based framework aimed at detecting and predicting apnea events through analysis of polysomnographic (PSG) and oximetry data. The core component is a Long Short-Term Memory (LSTM) network, whi...

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Literature Corpus work: d35cef0e-e2aa-5cfe-bbe8-19928ce311f2
DOI: 10.20944/preprints202411.1629.v1

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