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A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG Data. (arXiv:2211.02638v1 [eess.SP])
Nov. 7, 2022, 2:12 a.m. | Mithunjha Anandakumar, Jathurshan Pradeepkumar, Simon L. Kappel, Chamira U. S. Edussooriya, Anjula C. De Silva
cs.LG updates on arXiv.org arxiv.org
Sleep plays a crucial role in the well-being of human lives. Traditional
sleep studies using Polysomnography are associated with discomfort and often
lower sleep quality caused by the acquisition setup. Previous works have
focused on developing less obtrusive methods to conduct high-quality sleep
studies, and ear-EEG is among popular alternatives. However, the performance of
sleep staging based on ear-EEG is still inferior to scalp-EEG based sleep
staging. In order to address the performance gap between scalp-EEG and ear-EEG
based sleep …
More from arxiv.org / cs.LG updates on arXiv.org
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