Brain Monitoring of Sedation in the Intensive Care Unit Using a Recurrent Neural Network

Haoqi Sun, Sunil B. Nagaraj, Oluwaseun Akeju, Patrick L. Purdon, Brandon M. Westover*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    5 Citations (Scopus)

    Abstract

    Over and under-sedation are common in critically ill patients admitted to the Intensive Care Unit. Clinical assessments provide limited time resolution and are based on behavior rather than the brain itself. Existing brain monitors have been developed primarily for non-ICU settings. Here, we use a clinical dataset from 154 ICU patients in whom the Richmond Agitation-Sedation Score is assessed about every 2 hours. We develop a recurrent neural network (RNN) model to discriminate between deep vs. no sedation, trained end-to-end from raw EEG spectrograms without any feature extraction. We obtain an average area under the ROC of 0.8 on 10-fold cross validation across patients. Our RNN is able to provide reliable estimates of sedation levels consistently better compared to a feed-forward model with simple smoothing. Decomposing the prediction error in terms of sedatives reveals that patient-specific calibration for sedatives is expected to further improve sedation monitoring.

    Original languageEnglish
    Title of host publication40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
    PublisherIEEE
    Pages1-4
    Number of pages4
    ISBN (Electronic)9781538636466
    DOIs
    Publication statusPublished - 26 Oct 2018
    Event40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Hawaii Convention Center, Honolulu, United States
    Duration: 17 Jul 201821 Jul 2018
    Conference number: 40
    https://embc.embs.org/2018/

    Publication series

    NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    Volume2018-July
    ISSN (Print)1557-170X

    Conference

    Conference40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
    Abbreviated titleEMBC 2018
    CountryUnited States
    CityHonolulu
    Period17/07/1821/07/18
    Internet address

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