Prediction of the Sleep Apnea Severity Using 2D-Convolutional Neural Networks and Respiratory Effort Signals
The high prevalence of sleep apnea and the limitations of polysomnography have prompted the investigation of strategies aimed at automated diagnosis using a restricted number of physiological measures. This study aimed to demonstrate that thoracic (THO) and abdominal (ABD) movement signals are usefu...
Tallennettuna:
| Päätekijät: | , , , , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI AG
2023-10-01
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| Sarja: | Diagnostics |
| Aiheet: | |
| Linkit: | https://www.mdpi.com/2075-4418/13/20/3187 |
| Tagit: |
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