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Title: Reduction of Non-Actionable Alarms in Pulse Oximeters through Personalized Threshold Reparameterization
Authors: Redmond, Joe
Advisors: Verma, Naveen
Department: Chemical and Biological Engineering
Certificate Program: Applications of Computing Program
Class Year: 2018
Abstract: The field of “smart alarms” has grown out of an influx of medical professionals demanding alarms be more representative of a need for direct medical intervention. In hospitals, many alarms indicate irrelevant physiological events, producing nuisance alarms. Herein we introduce two methods for non-actionable alarm reduction by learning from a patient's biometric data to intelligently set alarm parameters. Threshold variables are personalized for each patient, showing a rapid reduction in alarms of 68-88%. We focus on data from the device that accounts for most nuisance alarms in hospitals, the pulse oximeter. This framework presents a rapidly adoptable platform for reduction of alarms in medical devices generally.
Type of Material: Princeton University Senior Theses
Language: en
Appears in Collections:Chemical and Biological Engineering, 1931-2020

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