A Multi-task Deep Learning Algorithm for Sleep Stage Scoring and Sleep Arousal Detection
Jiayan Huo,
Huayu Li,
Janet Roveda
et al.
Abstract:Background: Sleep is crucial for overall health and well-being.
Analyzing sleep stages and sleep fragmentation can enhance our
understanding of sleep quality and help protect individuals’ sleep
health. The objective of this study is to explore the development and
application of a multitask deep learning model that can simultaneously
detect sleep arousal and score sleep stages.
Methods: We employed a task-incremental learning approach to develop the
multi-task deep learning model. For development and testin… Show more
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