Nov 18, 2018 · We study the performance of five data mining techniques to classify the epochs of data from the Apnea-ECG and MIT-BIH databases from PhysioNet ...
ABSTRACT Obstructive sleep apnea (OSA) is a common but severely under-diagnosed sleep disorder that affects the natural breathing cycle during sleep with ...
It is concluded that one signal might be sufficient to detect disrupted breathing, if the data set is of sufficient quality and size, and that respiration ...
Oct 21, 2022 · Obstructive Sleep Apnea (OSA) is a common, but severely under-diagnosed sleep disorder that affects the natural breathing cycle during sleep ...
The goal of this study was to create an automatic system for evaluation of the airflow and SpO2 channels of polysomnography records, through the use of machine ...
We study the performance of five data mining techniques to classify the epochs of data from the Apnea-ECG and MIT-BIH databases from PhysioNet as either ...
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Obstructive Sleep Apnea (OSA) is a common, but severely under-diagnosed sleep disorder that affects the natural breathing cycle during sleep with periods of ...
Jun 30, 2022 · This study compared the effects of 6 types of obstructive sleep apnea-hypopnea syndrome (OSAHS) prediction models to develop a reference for selecting OSAHS ...
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Although real-time analysis is not required for patient-friendly sleep monitoring, the classifiers chosen can be used in an on-line analysis and monitoring ...
The objective was to detect abnormal respiration and estimate the Apnea–Hypopnea Index (AHI) automatically with a wearable respiratory device with and without ...
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