Date of this Version
Alexander Roederer, James Weimer, Joseph Dimartino, Jacob Gutsche, and Insup Lee, "Robust Monitoring of Hypovolemia in Intensive Care Patients Using Photoplethysmogram Signals", 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015) . August 2015. http://dx.doi.org/10.1109/EMBC.2015.7318656
The paper presents a fingertip photoplethysmography based technique to assess patient fluid status that is robust to waveform artifacts and health variability in the underlying patient population. The technique is intended for use in intensive care units, where patients are at risk for hypovolemia, and signal artifacts and inter-patient variations in health are common. Input signals are preprocessed to remove artifact, then a parameter-invariant statistic is calculated to remove effects of patient-specific physiology. Patient data from the Physionet MIMICII database was used to evaluate the performance of this technique. The proposed method was able to detect hypovolemia within 24 hours of onset in all hypovolemic patients tested, while producing minimal false alarms over non-hypovolemic patients.
37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015)
© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Date Posted: 12 October 2015
This document has been peer reviewed.