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2018-910 Prediction of Cardiac Arrest Using Continuous Electrocardiogram

SUMMARYUCLA researchers in the Geffen School of Medicine have developed a method to accurately and timely predict cardiac arrest in hospital patients based on a patient’s own data. This method allows for fewer and more relevant alarms that improve the chance of survival from a cardiac arrest episode.BACKGROUNDIn the United States, over 200,000...

Published: 7/19/2023 | Inventor(s): Duc Do, Noel Boyle, Alan Kuo, Xiao Hu

Keywords(s):

Category(s): Software & Algorithms > Digital Health, Medical Devices > Monitoring And Recording Systems, Therapeutics > Cardiovascular

A Method To Determine Cause Of A Cardiac Arrest And Provide Cause-Specific Decision Support In Real-Time Using Continuous Electrocardiography

UC Case No. 2019-257SUMMARYResearchers led by Duc Hong Do from the Department of Cardiology at UCLA have developed an algorithm to detect the cause of cardiac arrest in a hospital setting.BACKGROUNDIn the United States, Over 200,000 patients suffer cardiac arrests while in the hospital every year, with only 30% surviving til discharge. The current...

Published: 7/19/2023 | Inventor(s): Duc Do, Noel Boyle, Jason Jinseok Yang

Keywords(s): Cardiovascular, Diagnostic Markers & Platforms, Diagnostic Platform Technologies (E.G. Microfluidics), Medical Devices and Materials, Monitoring And Recording Systems

Category(s): Diagnostic Markers, Medical Devices, Medical Devices > Monitoring And Recording Systems, Platforms > Diagnostic Platform Technologies, Therapeutics > Cardiovascular