 Biosignal Real-time Processing System under MATLAB/Simulink
g.RTsys is dedicated for biosignal and
other technical signal data acquisition and real-time analysis. g.RTsys
is available as PC version (16-, 32-, 48- or 64-analog input channels,
digital inputs/ outputs, analog outputs) and as a portable, battery
supplied notebook-version (PCMCIA board with 16- or 32 analog input
channels). A connector box provides access to all inputs and out-puts to
connect g.RTsys to g.BSamp and/or to g.STIMunit as well as to customer
specific systems. |
 |
|
Highlights
-
 data acquisition & expandable real-time
processing in one unit
- rapid prototyping environment with MATLAB/Simulink
to integrate your own signal analysis algorithms
- graphical on-line visualization of
in-/out-going signals and real-time parameters
- reduction of implementation time from months to
hours
- available as portable
notebook version or PC version with up to 64 analog channels
- can be combined with
- g.BSamp to analyze EEG, EOG, EMG and ECG in real-time
- g.STIMunit to integrate real-time parameters in your on-line
paradigms (e.g. biofeedback)
- g.RTanalyse blockset for integrating feature extraction and
classification algorithms in your Simulink model
See reactions exactly in real-time
 Drag and drop your analysis tools
into the real-time system- Reduce development time from
months to hours
- Enhance creativity with rapid
prototyping and expandable architecture
- Write identical codes for online
and offline analyses
Set up your application with g.RTsys
 Step 1: Design your real-time model for parameter estimation and classification.
The selection of the correct and most suitable parameter estimation and
classification algorithms is one of the most important tasks when setting up
a new real-time system. g.RTsys highly facilitates the fast
transition and therefore allows the optimal selection of the best suited
algorithm. Simulink’s graphical user interface enables the user to
build block diagrams through drag and drop and offers the possibility to
write special blocks, called S-functions. The g.RTanalyze blockset
has further functions for biosignal parameter estimation and classification.
Off-line simulations and tests of the Simulink block diagrams can be
performed with previously recorded biosignal-data of former experiments.
Step 2:
Drag and Drop I/O blocks into your Simulink model to connect it with
the real world.
If no further improvements can be made with off-line tests, the model must
be connected to the real world. As an example, this block diagram shows the
band-power estimation for an EEG-based brain-computer interface (BCI, see
User Story, p. 18). A device driver for the PCI 6023E board (DAQ board from National Instruments) is added to the model to make the connection to
the real world. In this case the “Analog Input” block represents analog
input channel 1 and 2 (EEG #1, EEG #2). Channel 1 and 2 are connected to the
“Bandpower” algorithm blocks. The output of the “Bandpower” algorithm is log
transformed to normalize the data. The on-line calculation results are
displayed with the “Scope” and are transferred to “Analog Output” channels 1
and 2.
 Step 3: Chose the “BUILD MODEL” command to generate Real-Time Code.
A key advantage of rapid prototyping is the automatic code generation which
helps to create programs for real-time applications. Once the desired
results are achieved with Simulink off-line tests, the real-time C
code is directly generated, compiled, linked and downloaded to a real-time
kernel with the Real-Time Workshop. The Real-Time Workshop enables to
quickly run a Simulink design in real-time without specific
programming and debugging. The automatic code generation usually takes about
one minute even for complex systems.
Step 4:
Communicate with the real-time program.
g.RTsys offers absolute control over Simulink models without
interruption of the real-time experiment. All variables of the model can be
displayed and modified. Simulink operates any parameter changes and
updates online and without regenerating the model. During the experiments
all biosignals are recorded and this data can be used later e.g. for re-modelling
and re-designing the Simulink model after off-line analysis in
MATLAB and/or Simulink. It is important to note that the off-line
and on-line analyses are performed under the same environment.
Package includes
- real-time system
installed on a (i) PC with 15'' TFT or (ii) notebook computer
- data acquisition board
- connector box
Accessories
External
sensors for almost every physiological and physical measures (e.g.
pressure, temperature, conductivity, acceleration, GPS-coordinates,...)Technical Requirements
MATLAB, Simulink,
Real-Time Workshop, Real-Time Windows TargetTechnical Specifications
 Copyright
© g.tec |
