From Scalp to Ear-EEG: A Generalizable Transfer Learning Model for Automatic Sleep Scoring in Older People

Objective: Sleep monitoring has extensively utilized electroencephalogram (EEG) data collected from the scalp, yielding very large data repositories and well-trained analysis models. Yet, this wealth of data is lacking for emerging, less intrusive modalities, such as ear-EEG.Methods and procedures:...

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書誌詳細

出版年:	IEEE Journal of Translational Engineering in Health and Medicine
主要な著者:	Ghena Hammour, Harry Davies, Giuseppe Atzori, Ciro Della Monica, Kiran K. G. Ravindran, Victoria Revell, Derk-Jan Dijk, Danilo P. Mandic
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2024-01-01
主題:	Automatic sleep scoring hearables ear-EEG machine learning wearable EEG
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10504255/