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A deep learning approach to estimate SpO2 from PPG signals
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
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