Jul 27, 2022 · This study outlines a Systematic Literature Review and the results it provided to assess the present state-of-the-art in automatic analysis of sleep data.
The major goal of this report is to present a systematic literature review that explores scientific machine learning, feature extraction and selection, and big ...
Mar 16, 2024 · This review synthesizes findings from an exhaustive analysis of 87 papers, systematically retrieved from prominent databases such as Google Scholar, PubMed, ...
Apr 16, 2024 · This work provides a comprehensive review of an automated sleep staging system, which was contributed by the different researchers in the recent research ...
A systematic review, detailed in the methodology section, of the application of emerging deep learning algorithms to sleep scoring is here presented. The aim ...
Missing: Literature | Show results with:Literature
Jul 10, 2023 · The results revealed that automatic scoring demonstrates good quality (with Cohen's kappa up to over 0.80 and accuracy up to over 90%) in ...
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Apr 30, 2024 · It achieves comparable or better F1-scores, accuracy, and Cohen's Kappa compared to literature for automated sleep stage scoring of PSG epochs.
Nov 18, 2023 · This work provides a comprehensive review of a computerized sleep staging system, which was contributed by the different researchers in the recent research ...
Missing: Scoring. | Show results with:Scoring.
Oct 27, 2023 · In this article, we provide an exploration of the merits and drawbacks of automatic sleep scoring, alongside the pressing challenges and critical ...
Sep 5, 2024 · This paper aims to develop a versatile deep-learning architecture to automate sleep scoring using raw polysomnography recordings. Method The ...
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