Wearable sensors for pervasive healthcare management

Author

Olguìn, Daniel Olguìn ; Gloor, Peter A. ; Pentland, Alex Sandy

Author_Institution

Human Dynamics Group, MIT Media Lab., Cambridge, MA, USA

fYear

2009

fDate

1-3 April 2009

Firstpage

1

Lastpage

4

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.

Keywords

biomedical communication; biomedical measurement; health care; patient care; ubiquitous computing; wearable computers; Boston area hospital; PACU; Post-anesthesia Care Unit; daily average length of stay; face-to-face interaction; group performance; personality traits; pervasive healthcare management; physical activity; physical proximity; sociometric badges; speech activity; wearable sensors; Area measurement; Biomedical monitoring; Delay estimation; Hospitals; Humans; Instruments; Laboratories; Medical services; Speech; Wearable sensors;

fLanguage

English

Publisher

ieee

Conference_Titel

Pervasive Computing Technologies for Healthcare, 2009. PervasiveHealth 2009. 3rd International Conference on

Conference_Location

London

Print_ISBN

978-963-9799-42-4

Electronic_ISBN

978-963-9799-30-1

Type

conf

DOI

10.4108/ICST.PERVASIVEHEALTH2009.6033

Filename

5191205