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BSanalyze
medical & electrical engineeringGUGER
TECHNOLOGIES

BSanalyze

BIOSIGNAL ANALYSIS

O ffl i n e B i osi g n al Pr o cessi n g an d A n alysi s un der M AT LA B®

BIOSIGNAL ANALYSIS

Highlights

extensive biosignal analysis package with modular toolboxes
via mouse-click from raw data import, pre-processing, parameter extraction andsophisticated analyses to publication-ready plots
integration of advanced user specific methods and algorithms
history/journal files and convenient batch processing mode for automatic analysisof group study data
comfortable data editor and powerful 2-D and 3-D result viewer/editor
full support for almost any 3rd party data formatsbase version: Data file I/O, Visualization, (Pre-)processing, Artifact treatment, Transformations, ...
Data visualization
Data ruler, Undo (1-step, multi-step),
Journal file, Full header access, High speed
data scrolling (trial x channel/channel x
trial), Assign and edit data attributes andmarkers, Epoching (free/multi trial/multichannel mode), Data scoring, Quick
analyses of epochs, Assign comments,
Attribute jumper, Data status monitor,
Data player, Zoom, Data scaling (auto,amplifier, manual, type specific)
Data file I/O and Printing
Import filter: MATLAB, EDF, BKR, ASCII,RDF, CNT, TFM, MOBILAB, Block import,
Full support for 3rd-party formats, Export
ASCII, Assign class labels, Plot data,
Printer options
Transformation
Cut trials-samples-channels, Sort data,
Merge data sets, Arithmetic operations,
Data triggering (on multiple triggers),
Untrigger data
Pre-processing
DC-correction, Smoothing/Rectifying,
Data detrending, Remove drift, Down- andupsampling, Filter data (highpass, lowpass,
bandpass, bandstop), Filter design withgraphic support, Spatial filtering

data editor showing
multi-modal biosignals

easy import and exportof almost any data formats

Tools
Stimulus/response detector, Reaction
time analysis, Single trial analysis
Artifact treatment
Overflows, Zerolines, Eventfinder with
automatic attribute/marker assignment,
Artifact removal with ICA/spatial filters
Analyze
Independent Component Analysis (ICA),
Principal Component Analysis (PCA)
Batch mode
Automatic generation of journal files,
Batch mode processing for multiple datasets

design your filters

quick analyses of selected data segments (epochs)

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general analysis: Signal analyses, Parameter extraction, 2D-results, ... (included in EEG and ECG toolbox)
SSEPs following
electrical median
nerve stimulation
mesured at
different electrodepositions

Analyze functions
Data quality (histogram, distribution andstatistic measures),Average across trials (EP analysis, baseline
correction, SNR, graph comparison, ...),
Power spectrum analysis and significancetest of differences,
Wavelet analysis
Parameter extraction
Adaptive autoregressive (AAR) parameters
Signal variance, Bandpower,
Exponential window, Cross correlation andCC-based template matching
Result visualization
2D plots of analysis results, Layout editor,Copy and measure, Background image,
ASCII export, Clone plots, Topography,
Header editor
Pre-processing
Source derivation
Montage creator
Edit topography/electrode positions
according to the international 10-20system or free electrode system, Specify
source derivations (BIP/CAR/LAR/LAP,...),
Edit geometry datameasure characteristic
points in the result plots
extract different parametersfrom biosignal raw data forfurther analyses

result plots for recordings withup to 128 channels

wavelet analysis andtime-frequency maps

define electrode positions and configurations for source derivations

O ffl i n e B i osi g n al Pr o cessi n g an d A n alysi s un der M AT LA B
ECG toolbox: Specialized Analyses for the Electrocardiogram
ECG specific analyze functions
Coherence, Event-related coherence, Eventrelated ECG changes

multi-lead ECG analysis

QRS/R-peak detector
QRS complex detector with deviant
complex detector, Automatic detection,
classification and counting of normalbeats, atrial/ventricular extrasystoles,
bundle branch block, artifacts, ...
Parameter extraction
Tachogram
HR/HRV (heart rate / heart ratevariability)
HR/HRV time domain parameters,
Geometric measures, RR difference
measures, Segmented measures,
Poincarè plots,
HR/HRV frequency domain parameters,
Power measures, Normalized measures,
HRV time-frequency maps
ECG single beat analysis
Single beat editor, Automatic beat-by-beatdetection of characteristic points:
Pon, P, Poff, QRSon, Q, R, S, QRSoff, Ton, T, Toff,
Extraction of corresponding intervals,
durations, amplitudes/levels and otherparameters,
Time evolution plots for parameters, QTinterval and ST-segment analysis for
identification of pathological changes,
Recording reports

single beat editor showing
characteristic points

time courses
andhistogramsof specificparameters

select markers andcharacteristicpoints

HR/HRV (heart rate,heart rate variability)
parameters in thetime domain
HRV:time-frequency
maps

QT interval analysis

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EEG toolbox: Specialized Analyses for the Electroencephalogram
EEG specific analyze functions
Coherence,
Event-related coherence,
ERD/ERS analysis with significance test,
ERD/ERS time-frequency maps withbootstrap test for significance,
ERD/ERS time-frequency maps withcomplex demodulation,
ERD/ERS time-frequency maps withwavelets,
ERD/ERS time-frequency maps with
Hilbert transformation,
Common spatial patterns (CSP)

easy handling, viewing, scoring, transformation and processing of multi-channel EEG recordings

Parameter extraction
Hjorth parameters,
Barlow parameters,
Running fractal dimension,
Temporal and spatial complexity

topographic arrangement of multi-channel results:
spectral comparison with significance test

ERD/ERS time-frequency maps: a comprehensive overview of thedynamic of oscillatory EEG components (with bootstrap test)

common spatial patterns allow generating
new time series for optimal distinction between classes(maps display CSPs with topographic information
arranged according from the most distinctive to the least one)coherence analysis for predefinedpairs of channels (and comparisonwith significance test)O ffl i n e B i osi g n al Pr o cessi n g an d A n alysi s un der M AT LA B
classify toolbox: Biosignal classification methods
Tools
Generate feature matrix, Generate time
segment feature matrix,
Test classifier, Apply classifier,Store classifiers for online application(biofeedback, BCI, ...)

step by step: generate multi-class feature matrices

discriminate between
specific time segments
within trials

Methods
Multi-class linear discriminant analysis,
Minimum distance classifier,Backpropagation neural network,
Receiver operator curves,
Radial basis function,
Distinction sensitive learning vector
quantization (DSLVQ),DSLVQ for feature weighting,K-means clusteringcompute classifierswith various methods
and evaluate themwith validation tests

apply a classifiercomputed fromtraining data to
new test data sets

the validation of a classifier leads to a classification error (e.g. as a function of time)classifier
reports andweight vectors
are stored forfurtherapplications
DSLVQ feature weighting helps to identify the most importantfeatures for a discrimination task

ROC curves can be used for
threshold optimization to achieve
the maximum discrimination
between hits and false

KMEANS clustering finds the optimal position ofcodebook vectors in k-means

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high resolution EEG toolbox: Realistic anatomical multi-layer models and result mapping
Pre-processing
High resolution spline Laplacian derivations
for ERD/ERS, ERP, ...

different model layers and combinations:
scalp, brain, electrodes, data on scalp, interpolation of data on brain surface

Anatomical modeling
Generation of realistic anatomical multilayer models from segmented CT/MRI data,Fit electrode positions to models,
Edit geometry data
Result mapping
2D and 3D mapping of results for different
model layers, Edit transparency and colors,
Free rotation of models/maps, Generate
time series

define the view or use thefree rotation tool

specify colors, parameters
and transparency for thedifferent layers
define (or import) electrode positions for spline surface Laplacianderivations

2D-map time series with electrode positions

high resolution mapping of an ERD/ERS time series
with realistic head (and brain) model generated from segmented MRIs

subscription and support:
Subscription
g.BSanalyze comes with a hardlock for an unlimited single-place license or classroom license. The software includes a 1-year subscription withfree updates. The subscription can be renewed after 1 year.
SupportOn-demand implementation of user specific methods/algorithms. Full e-mail/phone support with minimum delay. Full support for 3rd party
data formats.

Guger Technologies OEGGUGERTECHNOLOGIES

g.tec medical engineering GmbHphone+43 316 675 106

fax+43 316 675 106 39

e-mailoffice@gtec.at

website www.gtec.ataddress Herbersteinstrasse 60
8020 Graz / Austria / Europe

g.tec products:
Sensors &ElectrodesSolutions

EEG / ECG / EMG / EOG

Life science
Clinical research
BCI research, Mobile systems

GSR, blood pressure
Respiration, pulse
SaO2, electrodes
Accessories

Biosignal amplifiers⇓Data
Acquisition

Real-Time

Stimulation
Experimental paradigm
Generation / Presentation

Signal Analysis
Offline biosignal
Processing andAnalysis

MATLAB® is a registered trademark of the MathWorks Inc.
g.tec is an official MATLAB partner.
(The MathWorks, Inc., Natick, MA.)

A2.13

BSanalyze

x+oData acquisition
Processing
Analysis
Neurofeedback