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Automated hypoxia and apnea identification for neonates via enhanced respiratory signal modeling with deep learning.

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Title: Automated hypoxia and apnea identification for neonates via enhanced respiratory signal modeling with deep learning.
Authors: Krupa, Abel Jaba Deva1 (AUTHOR), Chauhan, Bhoovi1 (AUTHOR), Azam, Shaik Khaja Saif1 (AUTHOR), Anand, S. A.1 (AUTHOR), Bereznychenko, Viktoriia2 (AUTHOR) vika.bereznichenko@i.ua, R, Narayanamoorthi3 (AUTHOR), Dhanalakshmi, Samiappan1 (AUTHOR) dhanalas@srmist.edu.in
Source: Scientific Reports. 11/19/2025, Vol. 15 Issue 1, p1-17. 17p.
Database: Academic Search Ultimate
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  Data: Automated hypoxia and apnea identification for neonates via enhanced respiratory signal modeling with deep learning.
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 11/19/2025, Vol. 15 Issue 1, p1-17. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=189417097
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        Value: 10.1038/s41598-025-24783-1
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              Text: 11/19/2025
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