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E learning in pharmaceutical continuing

Fig. 6.
 
Usage of the visualisation application in a web browser
active the chosen area is, the scale of colours bar was added 
to the models panel.
In order to adjust models size to screen resolution scale, 
a slider was added to models panel. 
Brain electrical activity saved in a ile is casted on a scale 
of colours from dark blue to red, which shows properly areas of 
no electrical activity and highest electrical activity of brain. To 
make it easier, while looking at a given colour, to decide how 
Fig. 7.
 
Chart panel: brain activity axis (1), samples axis (2), EEG channel’s chart (3),
currently played sample’s highlight (4), currently played sample (5), currently played sample’s tool-tip box (6)
Chart panel contains LineChart object from the Flex SKD, 
which is used to draw a part of a EEG signal data. A piece of 
the signal drawn in chart panel is described by the navigator 
component from control panel. Chart panel provides red co
-
lour highlight of the currently visualised sample and tool-tip that 
contains information about sample e.g. activity represented by 
samples, it’s number or name of the electrode (channel) that it 
belongs to.


87
Ima
ge
Pr
ocessing
Signal visualisation software for Mindset MS-1000 electroencephalograph
The application, its current and future functionalities can be 
tested by everyone at [12]. Real EEG data sets are available 
for visualisation.
Summary
In this paper EEG signal visualisation software designed for 
the Mindset MS-1000 EEG device was presented. At this stage 
we have a fully free and functional EEG visualisation software, 
working under all popular operating systems and web browsers. 
The developed application can be considered as the base for 
further improvements like EEG signal analysis or live visualisa-
tion feature.
At the moment the application is in its initial stage. Being the 
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