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Posted by
szhivotovsky
on
May 16, 2023
in
Guest Blogger
Overview AI for automated sleep staging is considered mature
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its way to commercial sleep evaluation systems. Systems underpinned by deep learning require large datasets
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a broad sample of sleep stages the machine seeks
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Posted by
szhivotovsky
on
October 17, 2023
in
Guest Blogger
Overview The Greifswald Sleep Stage Classifier (GSSC) is a highly accurate, deep learning-based automatic sleep stage classifier that priortises
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applications and recording environments. Sleep staging can be performed
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neural network to infer sleep stage on the basis
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Posted by
szhivotovsky
on
September 1, 2023
in
Guest Blogger
Overview Obstructive sleep apnea (OSA) affects more
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remaining undiagnosed. Although home sleep test solutions have existed
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of 39% for home sleep tests. Previous academic attempts
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Posted by
szhivotovsky
on
October 25, 2023
in
Guest Blogger
...
efforts aimed at standardizing sleep scoring procedures, with the
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EEG derivations, to detailed sleep scoring rules according to age. Automated sleep scoring systems - e.g. highly performing deep learning (DL) algorithms -
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show that a DL-based sleep scoring algorithm may not
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Posted by
szhivotovsky
on
July 17, 2023
in
Guest Blogger
...
a realistic assessment of sleep stage classification (SSC) models
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Most of the proposed deep learning-based models assume access
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data. We examined existing sleep stage classification models, evaluated
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