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2019-872 Methods and Apparatus to Impute Physiological Signals and Derivative Absolute Values in Real-Time Using Machine Learning Approaches from Independent Data Sources
SUMMARYResearchers led by Drs. Maxime Cannesson and Eran Halperin at UCLA have developed a way to predict arterial blood pressure waveforms using EKG and SpO2 waveforms.BACKGROUNDMonitoring and measuring vital physiological signals like arterial blood pressure (ABP) is critical for successful surgery. Ideally these types of signals should be measured...
Published: 7/19/2023
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Inventor(s):
Maxime Cannesson
,
Brian Hill
,
Eran Halperin
,
Ira Hofer
,
Nadav Rakocz
Keywords(s):
Advanced Computing / AI
,
Anesthesiology
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Bioinformatics
,
Digital Health
,
Hospital Systems And Devices
,
Monitoring And Recording Systems
,
Signal Processing
,
Simulation & Modeling
,
Software
,
Software & Algorithms
Category(s):
Medical Devices > Monitoring And Recording Systems
,
Platforms > Diagnostic Platform Technologies
,
Software & Algorithms > Data Analytics
,
Software & Algorithms > Bioinformatics
,
Software & Algorithms > Programs