Wearable sensors for pervasive healthcare management
2009 3rd International Conference on Pervasive Computing …, 2009•ieeexplore.ieee.org
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.
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.
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.
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