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Vital Anal-ysis: Annotating sensed physiological signals with the stress levels of first responders in action

Gomes, P. ; Kaiseler, M. ; Queirós, C. Q. ; Lopes, B.L. ; Coimbra, M.

Vital Anal-ysis: Annotating sensed physiological signals with the stress levels of first responders in action, Proc International Conf. of the IEEE Engineering in Medicine and Biology Society - EMBC, San Diego, United States, Vol. 0, pp. 0 - 0, August, 2012.

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Abstract
First responders such as firefighters are exposed
to extreme stress and fatigue situations during their work
routines. It is thus desirable to monitor their health using
wearable sensing but this is a complex and still unsolved
research challenge that requires large amounts of properly
annotated physiological signals data. In this paper we show
that the information gathered by our Vital Analysis Framework
can support the annotation of these vital signals with the stress
levels perceived by the target user, confirmed by the analysis of
more than 4600 hours of data collected from real firefighters
in action, including 717 answers to event questionnaires from
a total of 454 different events.