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ventilation rate, which in this scenario is the intercept ( b y ) term from the regression. For both at-rest
and active participants, a full regression would be needed.
Adding a tiny onboard accelerometer (as per Rosenberger et al., 2008) that is suficiently sensi-
tive can potentially enable development of predictive regressions between the composite motion sig-
nals and ventilation rate in real time by conducting scripted activities over a range of adults and/or
children. While this technology is still evolving and may not be applicable for all subjects, it will
set the stage for the next generation of personal-level BZ monitors where both BZ concentrations
and estimated concurrent potential dose from Equations 2.1 and 2.2 are applied. The added value
from this approach is that the burdensome ventilation measurements are conducted only during
the scripted exercises, while the subsequent application of the same accelerometers can be applied
transparently to the participants being monitored for exposure levels.
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