A deep learning approach to estimate SpO2 from PPG signals

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Title	A deep learning approach to estimate SpO2 from PPG signals
Author	Koteska B.
Co-authors	Madevska Bogdanova A.
	Mitrova H.
	Sidorenko M.
	Lehocki Fedor 1976 SAVMER - Ústav merania SAV ^SCOPUS ^RID ^ORCID

Source document	ICBRA 2022 : Proceedings of 2022 9th International Conference on Bioinformatics Research and Applications. P. 142-148. - New York, US : Association for Computing Machinery, 2023 ; ICBRA 2022: 2022 9th International Conference on Bioinformatics Research and Applications
Language	eng - English
Country	US - United States of America
Document kind	rozpis článkov z periodík (rzb)
Category	ADMB - Scientific papers in foreign non-impacted journals registered in Web of Sciences or Scopus
Category of document (from 2022)	V2 - Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka
Type of document	príspevok z podujatia
Year	2023
Registered in	WOS
Registered in	SCOPUS
DOI	10.1145/3569192.3569215

article

	File name	Access	Size	Downloaded	Type	License
	A deep learning approach to estimate SpO2 from PPG signals.pdf	Neprístupný/archív	6.9 MB	1	Author's preprint

rok vydania	rok metriky	IF	IF Q (best)	SJR	SJR Q (best)
2023

Number of the records: 1