GTEC-0101

g.BSanalyze – for multimodal biosignal processing

g.BSanalyze is an interactive environment for multimodal biosignal data processing and analysis in the fields of clinical research and life sciences.

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g.BSanalyze – for multimodal biosignal processing

g.BSanalyze has been on the market for more than twenty years, and is used in more than 70 countries. It is the most comprehensive package available to analyze non-invasive and invasive brain-, heart- and muscle-functions and dysfunctions. The package won several international awards.

g.BSanalyze is an interactive environment for multimodal biosignal data processing and analysis in the fields of clinical research and life sciences. g.BSanalyze has been on the market for more than twenty years, and is used in more than 70 countries. It is the most comprehensive package available to analyze non-invasive and invasive brain-, heart- and muscle-functions and dysfunctions. The package won several international awards. The new version includes many new functions such as topographic plots, CCA, new filters, an importer for cortiQ files, updates for Result2D, Cortio-Cortical Evoked Potentials, an ECoG toolbox, a TMS toolbox and more!

The package comes with many sample biosignal data-sets, including P300, SSVEP, motor imagery, CSP BCIs, Tilt-Table, EPs, multi-unit activity, CFM, CCEP, and ERD/ERS.

PRODUCT HIGHLIGHTS

Interactive and intuitive graphical user interface for EEG, ECoG, EOG, EMG, ECG, spikes, and physical data analyses and documentation under MATLAB as well as a stand-alone version

Extensive tools for data processing in time, space, and frequency domains

Powerful 2D and 3D visualization tools to rapidly generate publication ready figures

Enhancement of power with g.tec’s specialized EEG, ECoG, Cerebral Function Analysis, Cortico-Cortical Evoked Potentials, ECG, Spike, Classification and High-Resolution EEG toolboxes

Flexibility to integrate other MATLAB toolboxes, as well as customers’ specific algorithms

Analyse data from g.Recorder, g.HIsys, MATLAB and C API and many other third-party recording devices

The only package that supports all BCI principles such as P300, motor imagery, SSVEP/SSSEP, slow cortical potentials, cVEP

Optimized for high-gamma activity analysis

Discharge artefact removal algorithms for TMS experiments

AVAILABLE TOOLBOXES

EEG toolbox: specialized functions for pre-processing, analysis and parameter extraction for EEG data

ECG toolbox: find QRS complexes and calculate heart rate variability parameters

Classification toolbox: classify parameters with linear and non-linear methods including statistical analysis for zero class detection

High-resolution EEG: map EEG activity on realistic head models

Cerebral Function Analysis toolbox: calculate amplitude integrated EEG

Spike toolbox: analyze spikes, multi-unit activity and positions to map physiological parameters

Cortico-Cortical Evoked Potential toolbox: calculate CCEPS from ECoG recordings

ECoG toolbox: analyse EEG data from implants

MORE THAN 100 FUNCTIONS

g.BSanalyze’s graphical user interface includes more than 100 state-of-the art functions for defining electrode montages, spatial or temporal filter designs, artifact treatment, quality control, spectral analysis, coherence, correlation, bandpower analysis, ERD/ERS analyses, EP analyses, visualization, data set classification, and other goals.

It is the only package that supports all BCI principles: P300, SSVEP/SSSEP, cVEP, motor imagery and slow cortical potentials. You can load and save your preferred processing steps within a script program and automatically process your data in g.BSanalyze batch mode.

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ALL YOU NEED FOR BIOSIGNAL ANALYSIS

g.BSanalyze’s processing capabilities allow you to extract relevant features from your multimodal data and define useful parameters for post-processing. Use these parameters directly with g.BSanalyze’s classification tools to assign distinct classes to your data with linear and non-linear classifiers.

The combination of the graphical user interface and the programming environment makes g.BSanalyze a truly unique package for biosignal analyses. The standalone version of g.BSanalyze can run without a MATLAB installation, but batch processing in the MATLAB command window is not possible.

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G.TEC SUITE 2020

The g.tec Suite 2020 contains all software packages from g.tec, such as g.NEEDaccess with all APIs, g.HIsys, g.Recorder and g.BSanalyze. It allows an easy installation, update and organization of all software packages, and comes with an automatic software compatibility check to minimize any software issues on your computer.

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BASE VERSION FEATURES

Features Overview

Pre-Processing
Data Visualization
Transformation
Tools
Analyze
Data File I/O and Printing
Batch Mode
Artifact Treatment

TRANSFORMATION

Cut trials-samples-channels, Sort data, Merge data sets, Arithmetic operations, Data triggering (on multiple triggers), Untrigger data

TOOLS

Stimulus/response detector, Reaction time analysis, Single trial analysis, Trigger finder

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 and markers, Epoching (free/multi trial/multi channel mode), Data scoring, Quick analyses of epochs, Assign comments, Attribute jumper, Data status monitor, Data player, Zoom, Data scaling (auto, amplifier, manual, type specific)

PRE-PROCESSING

DC-correction, Smoothing/Rectifying, Data de-trending, Remove drift, Down- and up-sampling, Filter data (highpass, lowpass, bandpass, bandstop), Filter design with graphic support, Spatial filtering, Moving average, Baseline correction

ANALYZE

Independent Component Analysis (ICA), Principal Component Analysis (PCA)

DATA FILE I/O AND PRINTING

Import filter: recoveriX, mindBEAGLE, cortiQ, MATLAB, EDF, BKR, ASCII, RDF, CNT, TFM, MOBILAB, AXONA, BIOPAC, MICROMED, MIT, BIOSEMI, Block import, Full support for third-party formats, Export ASCII, Assign class labels, Plot data, Printer options

BATCH MODE

Automatic generation of journal files, Batch mode processing for multiple data sets, Automated Batch Starter

ARTIFACT TREATMENT

Overflows, Zerolines, Eventfinder with automatic attribute/marker assignment, Artifact removal with ICA/spatial filters, Automatic artifact epoch detection

GENERAL ANALYZE FEATURES

Feature Overview

Analyze Functions
Result Visualization
Pre-Processing
Parameter Extraction
Montage Creator

ANALYZE FUNCTIONS

Data quality (histogram, distribution and statistic measures), Average across trials (EP analysis, baseline correction, SNR, graph comparison, …), Power spectrum analysis and significance test of differences, Wavelet analysis

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

PARAMETER EXTRACTION

Adaptive autoregressive (AAR) parameters, Signal variance, Bandpower, Exponential window, Cross correlation and CC-based template matching, Minimum energy

MONTAGE CREATOR

Edit topography/electrode positions according to the international 10-20 system or free electrode system, Specify source derivations (BIP/CAR/LAR/LAP,…), Edit geometry data

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ECG TOOLBOX FEATURES

Features Overview

Heart Rate Variability
Parameter Extraction
ECG Specific Analyze Functions
QRS/R-Peak Detector

HEART RATE VARIABILITY

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

PARAMETER EXTRACTION

Tachogram

ECG SPECIFIC ANALYZE FUNCTIONS

Coherence, Event-related coherence, Event-related ECG changes

QRS/R-PEAK DETECTOR

Automatic R-peak detection and marker assignment

EEG TOOLBOX FEATURES

Features Overview

EEG Specific Analyze Functions
Artifact Treatment
Parameter Extraction

EEG SPECIFIC ANALYZE FUNCTIONS

Coherence, Event-related coherence, ERD/ERS analysis with significance test, ERD/ERS time-frequency maps with bootstrap test for significance, ERD/ERS time-frequency maps with complex demodulation, ERD/ERS time-frequency maps with wavelets, ERD/ERS time-frequency maps with Hilbert transformation, Common spatial patterns (CSP), Mean frequency, Phase-locking value, Averaging function with statistical comparison of different classes, EP calculation (ASSR, MNN, BAEP, P300, N400, …)

ARTIFACT TREATMENT

TMS artifact removal

PARAMETER EXTRACTION

Hjorth parameters, Barlow parameters, Running fractal dimension, Temporal and spatial complexity, Minimum energy for SSVEP- and SSSEP-based BCI, P300 BCI accuracy

CLASSIFY TOOLBOX FEATURES

Features Overview

Methods
Tools

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 clustering, Support vector machine, Change rate/majority voting, Zero-class, P300-accuracy, Plot classification result

TOOLS

Generate feature matrix, Generate time segment feature matrix, Test classifier, Apply classifier, Store classifiers for online application (biofeedback, BCI, …)

CEREBRAL FUNCTION ANALYSIS TOOLBOX FEATURES

g.bsanalyze software cerebral function analysis toolbox

Features Overview

Offline Analysis of Neonate EEG
Automatic CFM Segmentation

OFFLINE ANALYSIS OF NEONATE EEG

The CFM (aEEG) signal can be computed from selected data segments. The CFM traces are displayed in a viewer window for visual inspection.

AUTOMATIC CFM SEGMENTATION

CFM traces can be classified automatically. The following classes are assigned to data segments of a predefined length (e.g. 10 min): CVP (continuous voltage pattern), DLVP (discontinuous low voltage pattern), DHVP (discontinuous high voltage pattern), ISO (isoelectric pattern), BSP (burst suppression mode), BURST (bursts). Criteria for automatic segmentation can be adjusted/optimized for special applications or derivation techniques.