3d International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

Wearable sensors for pervasive healthcare management

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  • @INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2009.6033,
        author={Daniel Olguin Olguin and Peter A. Gloor and Alex (Sandy) Pentland},
        title={Wearable sensors for pervasive healthcare management},
        proceedings={3d International ICST Conference on Pervasive Computing Technologies for Healthcare},
        proceedings_a={PERVASIVEHEALTH},
        year={2009},
        month={8},
        keywords={Area measurement Biomedical monitoring Delay estimation Hospitals Humans Instruments Laboratories Medical services Speech Wearable sensors},
        doi={10.4108/ICST.PERVASIVEHEALTH2009.6033}
    }
    
  • Daniel Olguin Olguin
    Peter A. Gloor
    Alex (Sandy) Pentland
    Year: 2009
    Wearable sensors for pervasive healthcare management
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/ICST.PERVASIVEHEALTH2009.6033
Daniel Olguin Olguin1,*, Peter A. Gloor2,*, Alex (Sandy) Pentland1,*
  • 1: Human Dynamics Group, MIT Media Laboratory, Cambridge, MA 02139
  • 2: Center for Collective Intelligence, MIT Sloan School of Management, Cambridge, MA 02139
*Contact email: dolguin@media.mit.edu, pgloor@mit.edu, pentland@media.mit.edu

Abstract

We show that it is possible to identify individual personality traits and measure group performance in a Post-anesthesia Care Unit (PACU) using wearable sensors.We instrumented a group of 67 nurses working in the PACU of a Boston area hospital with sociometric badges capable of measuring physical activity, speech activity, face-to-face interaction, and physical proximity. Using the data collected with these sensors we were able to estimate the daily average length of stay (LOS) and number of delays.