biomedical engineering program BIOSIGNAL ANALYSIS GUGER TECHNOLOGIES

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1 R biomedical engineering program GUGER TECHNOLOGIES

2 Multi-modal Off-line Biosignal Analysis under MATLAB Highlights intuitive Windows instruments for EEG, EOG, EMG, ECG data analysis and documentation under MATLAB powerful 2-D and 3-D visualization tools to rapidly generate publication ready figures enhancement of power with application-specific g.tec or MATLAB toolboxes or addition of your own M-files can be combined with g.daqsys for off-line data analysis of the recorded da ta g.rtsys for real-time parameter estimation g.hreeg for EEG source localization g.rtanalyse blockset for real-time parameter estimation and classification party data formats. The toolbox has modules for managing header information such as amplifier- and montage settings and includes information such as session, paradigm, company and subject. External and internal markers allow to trigger the data on special events. Trial and channel attributes can be assigned to sort, include or exclude artifacts, specific classes or channels. Pre-processing modules enable spatial filtering, smoothing and re-sampling of data before a (semi-)automatic treat- ment of artifacts is performed. The analyze menu offers functions for data quality control, coherence, correlation, bandpower analysis, ERD/ERS and many more. g.bsanalyze offers absolute control over your acquired biosignal data. After acquiring data with g.daqsys, g.rtsys or any other custom system g.bsanalyze can be used for inspecting the raw data. g.bsanalyze supports different 3rd Package includes Software modules Technical requirement MATLAB, Signal Processing Toolbox any other toolbox suitable for your research (neural networks, wavelets, optimization,...) [ 2 ]

3 Multi-modal Off-line Biosignal Analysis under MATLAB BSanalyze Intuitive Windows instruments and batch processing Process EEG/EP/ECG/EMG/EOG and external signals simultaneously Reduce data pre-processing effort significantly and concentrate on your major task Publication ready plots with the latest algorithms Edit easily high quality plots directly in MATLAB Integrate your own data analyse s into the g.bsanalyze framework Benefit from implemented meth ods like: independent component analysis, adaptive autoregressive models or sophisticated Event-Related De/Synchronization The parameter estimation section supports common algorithms such as adaptive autoregressive estimation with the recursive least squares or least mean squares estimation as well as Hjorth parameters and Barlow parameters. These parameters can be used as inputs to the classification methods. A key advantage of g.bsanalyze is that M-files can easily be added for parameter estimation and classification. Data can be pre-processed with the integrated modules, analyzed with your newly designed M-files and classified with the standard algorithms. This speeds up scientific work significantly and the focus can be put on core problems. All results are stored in MATLAB format and are accessible from any other program. The powerful visualization modules for 2D- and 3Dpresentation allow to design publication ready plots and to print the results. [ 3 ]

4 BSanalyze Multi-modal Off-line Biosignal Analysis under MATLAB Add anatomy to your results 3D Spline Surface Laplace derivation for realistic shaped head/spherical models Boundary element method based source localization on realistic shaped head models Distributed source models best suited for ERD/ERS analyses 3D graphical presentation of results Technical details and specification Supported data formats Pre-processing Signal processing Visualization Miscellaneous MATLAB data, ASCII, EDF (European Data Format), any other data format upon request Artifact (baseline, EMG, EOG, ) correction modules Lowpass, highpass, bandpass (FIR/IIR, zero-phase) filtering Spatial filtering (small/large Laplacian, 3D Spline surface, Common Average Reference, bipolar derivations, Local Average Reference, Hjorth s derivation, Weighted Average Reference) Data set merging Linear detrending Triggering of data according to external markers Selection of data classes Data windowing Data compression (downsampling) Reaction time between triggers Data quality control (Entropy, Histogram,...) Horizontal/vertical averaging, standard deviation Time frequency analysis, Spectrum calculation Event-related desynchronization/synchronization including significance Coherence/Event-related coherence Correlation Evoked response analysis Parameter Estimation: Bandpower calculation Calculation of Hjorth/Barlow parameters Adaptive autoregressive parameter esti mation with RLS, LMS, Kalman filtering Principal Component analys is, Common Spatial patterns, Independent Component analysis Classification: Linear discriminant analysis with 10 times 10 fold cross validation Raw data and result visualization Montage creator 2D/3D mapping Publication ready plots Export to Windows based tools Printing of results Batch processing, sample batches, sample data sets Database access to all signal processing results from Matlab and Simulink NEW MODULES (Nov. 2003): ECG-Toolbox, HReeg-Toolbox 1.52 [ 4 ]

5 authorized distributor: i-math Pte Ltd 10 Ubi Crescent #06-37 Lobby C Ubi Tech Park Singapore tel: (65) fax: (65) enquiries: info@i-math.com.sg website: GUGER TECHNOLOGIES Guger Technologies OEG Austria / Europe