Using ambient intelligence for physiological monitoring

Authors:
Dorothy W. Curtis;Jacob Bailey;Esteban J. Pino;Thomas Stair;Staal Vinterbo;Jason Waterman;Eugene I. Shih;John V. Guttag;Robert A. Greenes;Lucila Ohno-Machado
Affiliations:
(Correspd. E-mail: dcurtis@csail.mit.edu) Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts, USA;Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA;Universidad de Concepción, Departamento de Ingeniería Eléctrica, Concepción, Chile;Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA;Decision Systems Group, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA and Division of Health Sciences and Technology, Harvard-Massachusetts Institute of Technology, Cambrid ...;Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts, USA;Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts, USA;Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts, USA;Department of Biomedical Informatics, Arizona State University, Arizona Biomedical Collaborative, Phoenix, AZ, USA;Decision Systems Group, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA and Division of Health Sciences and Technology, Harvard-Massachusetts Institute of Technology, Cambrid ...
Venue:
Journal of Ambient Intelligence and Smart Environments
Year:
2009

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Abstract

Ambient intelligence is a way of subtly gathering information from an environment and acting on it. In the field of physiological monitoring, there are several goals that ambient intelligence can help us achieve. First, when patients are anxious, unobtrusive monitoring does not aggravate their anxiety. Second, when patients are at risk and there are insufficient caregivers to attend to each patient individually in a timely manner, unobtrusive pervasive monitoring can reassure patients that they are being cared for. Furthermore, caregivers appreciate being able to monitor more patients. The SMART system was developed to monitor patients' vital signs and locations in the waiting area of a hospital's emergency department. This paper reviews the SMART system and compares it to several other systems in related areas.