Title :
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
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;
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
DOI :
10.4108/ICST.PERVASIVEHEALTH2009.6033
