Machine learning based SpO2 prediction from PPG signal's characteristics features

Continuous monitoring of blood oxygen saturation level (SpO2) during the second triage in the high casualty event and determining the hemostability of a patient/victim until arrival to a medical facility, is essential in emergency situations. Using a SmartPatch device attached to a victim's che...

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Vydané v:	2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) s. 1 - 6
Hlavní autori:	Koteska, Bojana, Mitrova, Hristina, Bogdanova, Ana Madevska, Lehocki, Fedor
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 22.06.2022
Predmet:	Decision making Feature extraction Filtering machine learning Neural networks oxygen saturation photoplethysmogram data Pipelines Predictive models Prototypes signal processing
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