Departmental Papers (CIS)

Date of this Version


Document Type

Conference Paper


The First IEEE Conference on Connected Health Applications, Systems and Engineering Technologies (IEEE CHASE 2016), Washington, DC, June 27-29, 2016


In this work, we describe the state of clinical monitoring in the intensive care unit and operating room, where patients are at their most fragile and thus monitoring is most heightened. We describe how large amounts of data generated by monitoring patients’ physiologic signals, along with the ubiquitous aspecific threshold alarms in use today, cause dangerous alarm fatigue for medical caregivers. In order to build more specific, more useful alarms, we gathered a novel data set that would allow us to assess the number, types, and utility of alarms currently in use in the intensive care unit. To do this, we developed a system to collect physiologic monitor data, alarms, and annotations of those alarms provided electronically by clinicians. We describe the collection process for this novel data set and provide a preliminary description of the data.

Subject Area

CPS Medical

Publication Source

First IEEE Conference on Connected Health Applications, Systems and Engineering Technologies (IEEE CHASE 2016)

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Copyright/Permission Statement

© 2016 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.


biomedical monitoring, monitoring, sensors, hospitals, fatigue, alarm systems, safety

Bib Tex

author={A. Roederer and J. Dimartino and J. Gutsche and M. Mullen-Fortino and S. Shah and C. W. Hanson and I. Lee},
booktitle={2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)},
title={Clinician-in-the-Loop Annotation of ICU Bedside Alarm Data},
keywords={data handling;health care;hospitals;patient care;patient monitoring;physiology;ubiquitous computing;ICU bedside alarm data;clinical monitoring;clinician-in-the-loop annotation;intensive care unit;patient physiologic signal monitoring;ubiquitous aspecific threshold alarm;Alarm systems;Biomedical monitoring;Fatigue;Hospitals;Monitoring;Safety;Sensors},



Date Posted: 11 October 2016

This document has been peer reviewed.