Sleep Stages Discrimination by Head Motion

Autor:	Shima Okada, Masaaki Makikawa, Motoki Yoshihi, Tianyi Wang
Rok vydání:	2020
Předmět:	Sleep Stages Acceleration business.industry Head (linguistics) Feature extraction Rapid eye movement sleep Pattern recognition Artificial intelligence business Motion (physics) Random forest
Zdroj:	BIBM
DOI:	10.1109/bibm49941.2020.9313314
Popis:	In this study, sleep stages were estimated using features extracted from head acceleration. Two steps random forest was used for the estimation. As the result, it was possible to estimate sleep stages with more than 70% accuracy.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b46d99edec27990c224a36fb7cc9dd66 https://doi.org/10.1109/bibm49941.2020.9313314 Zobrazit plný text záznamu