Determination of attentional status is important
because working performance and an unexpected accident is highly
related with the attention. The autonomic nervous and the central
nervous systems can reflect the changes in person’s attentional status.
Reduced number of suitable pysiological parameters among
autonomic and central nervous systems related signal parameters will
be critical in optimum design of attentional devices. In this paper, we
analyze the EEG (Electroencephalography) and HRV (Heart Rate
Variability) signals to demonstrate the effective relation with brain
signal and cardiovascular signal during event-related attention, which
will be later used in selecting the minimum set of attentional
parameters. Time and frequency domain parameters from HRV signal
and frequency domain parameters from EEG signal are used as input
to the optimum feature parameters selector.