Machine Learning-Based Automatic Detection of Central Sleep Apnea Events From a Pressure Sensitive Mat

Machine Learning-Based Automatic Detection of Central Sleep Apnea Events From a Pressure Sensitive Mat

Polysomnography (PSG) is the standard test for diagnosing sleep apnea. However, the approach is obtrusive, time-consuming, and with limited access for patients in need of sleep apnea diagnosis. In recent years, there have been many attempts to search for an alternative device or approach that avoids...

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Bibliographic Details
Main Authors: Hilda Azimi, Pengcheng Xi, Martin Bouchard, Rafik Goubran, Frank Knoefel
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Biomedical measurement
data analysis
deep learning
machine learning
patient monitoring
pressure measurement
Online Access:https://ieeexplore.ieee.org/document/9203807/

Internet

https://ieeexplore.ieee.org/document/9203807/

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