Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future Directions. (arXiv:2111.08446v3 [eess.SP] UPDATED)

Web: http://arxiv.org/abs/2111.08446

Modern deep learning holds a great potential to transform clinical practice
on human sleep. Teaching a machine to carry out routine tasks would be a
tremendous reduction in workload for clinicians. Sleep staging, a fundamental
step in sleep practice, is a suitable task for this and will be the focus in
this article. Recently, automatic sleep staging systems have been trained to
mimic manual scoring, leading to similar performance to human sleep experts, at
least on scoring of healthy subjects. …

arxiv challenges development future staging