Automated sleep staging through cardiac rhythm is one of the active research areas that has gained attention over the last decade. In this study, we review four ...
In this study, we review four recent state-of-the-art deep learning methods for automated sleep staging, datasets developed in recent years, and discuss their ...
Aug 20, 2020 · In this study, we applied deep learning methods to create an algorithm for automated sleep stage scoring using the instantaneous heart rate (IHR) time series.
We aimed to comprehensively review the latest methods that are applying deep learning for enhancing sleep staging efficiency and accuracy.
As an alternative, Deep Learning, capable of automatic feature extraction, proves far more reliable for this task.
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The study compares the accuracy of sleep staging between healthy individuals and SA patients using the same algorithm, revealing variations in performance.
Oct 18, 2023 · This study aimed to assess the performance of a deep learning-based sleep stage classification model constructed using fewer physiological parameters.
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Dec 24, 2021 · The objective of this study was to introduce a confidence-based framework to detect the possibly wrong predictions.
The proposed deep learning-based classification algorithm enables fast, accurate, and reliable automatic sleep staging based on frontal EEG, EOG, and chin EMG ...
Jun 9, 2022 · The goal of this study was to verify the accuracy of automated sleep-stage scoring based on a deep learning algorithm compared to manual sleep-stage scoring.