ALGORITHMS FOR REAL-TIME MULTI-PARAMETER FUSION OF BIOMETRIC DATA AND ANOMALY DETECTION IN CARDIAC MONITOR SYSTEMS
Jiyanbayev O.E.Tashkent State Technical University named after Islam Karimov, Tashkent, UzbekistanAbdullayev I.N.Center for the Development of Professional Qualification of Medical Workers under the Ministry of Health of the Republic of Uzbekistan, Tashkent, UzbekistanYusupova N.S.Tashkent State Technical University named after Islam Karimov, Tashkent, UzbekistanShakarov F.Q.Tashkent State Technical University named after Islam Karimov, Tashkent, UzbekistanUmarova D.A.Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan
ABI
Abstract
This study presents an algorithmic framework for real-time multi-parameter fusion of biometric data and anomaly detection in cardiac monitor systems. Modern cardiac monitors continuously acquire and analyze multiple physiological parameters, including electrocardiographic signals, heart rate, oxygen saturation, non-invasive or invasive blood pressure, respiratory rate, body temperature, and other vital indicators. The simultaneous analysis of these parameters is essential for early detection of patient deterioration, arrhythmias, hypoxemia, hemodynamic instability, respiratory failure, and other critical conditions.
Topics
Identifiers
Citations and references
Cited by 00 references
Metrics — AkademScholar · Coming soon