Label-Efficient Sleep Staging Using Transformers Pre-trained with Position Prediction

“Sleep staging for diagnosing sleep disorders is crucial but challenging to scale due to the need for clinical expertise. Deep learning models can help, but require large labeled datasets. Self-supervised learning (SSL) can reduce this need, but recent studies indicate performance plateaus after training with data from only tens of subjects, falling short of larger dataset performance.”

 Label-Efficient Sleep Staging Using Transformers Pre-trained with Position Prediction

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Sleep Staging with AI

Sleep staging is crucial for diagnosing sleep disorders, but it’s challenging to scale due to the need for clinical expertise. Deep learning models can help, but they require large labeled datasets, which are hard to obtain. Self-supervised learning (SSL) can mitigate this need, but recent studies show limitations in performance gains.

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Label-Efficient Sleep Staging Using Transformers

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