Interactive Environment For

Multimodal Biosignal Data Processing

 

g.BSanalyze - Offline Biosignal Analysis For Maltlab

 

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 ten years, and is used in more than 70 countries. It is the most comprehensive package 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, and more

 

Toolboxes of g.BSanalyze

 

g.BSanalyze consists of a base version for data import, visualization, transformation and pre-processing and has several dedicated 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
  • Classify 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
  • CFM toolbox: calculate amplitude integrated EEG
  • SPIKE toolbox: analyze spikes, multi-unit activity and positions to map physiological parameters

The package comes with many sample biosignal data-sets, including P300, SSVEP, motor imagery, CSP BCIs, Tilt-Table, EPs, multi-unit activity, CFM, 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 2-D and 3-D visualization tools to rapidly generate publication ready figures
  • Enhancement of power with g.tec's specialized EEG, aEEG, ECG, SPIKE, CLASSIFY and High-Resolution EEG toolboxes
  • Flexibility to integrate other MATLAB toolboxes, as well as customers' specific algorithms
  • Analyze data from: g.Recorder, Highspeed On-line Processing for Simulink, MATLAB and C API and many other 3rd-party recording devices
  • More than 100 state-of-the-art functions for analyzing biosignal data
  • More than 15 years of development and used in over 70 countries worldwide
  • The only package that supports all BCI principles: P300, motor imagery, SSVEP/SSSEP, slow cortical potentials
  • Optimized for high-gamma activity analysis
  • Discharge artifact removal algorithms for TMS experiments

 

More Information

Base Version: General Analyze

 

The Base Version of g.BSanalyze allows the visualization, processing and basic analyses of EEG, ECoG, ECG, EOG, EMG, spikes, respiration, pulse, and other physical signals. An intuitive data editor lets you scroll through the data set, adding annotations and comments. Semi-automatic artifact detections and manual correction possibilities yield the highest quality data for further analysis. Data set triggering on events and event-related signal changes can be performed based on markers and signal channels. Temporal filtering and spatial filtering (e.g. Common Spatial Patterns, ICA, PCA, CCA) allow extracting hidden information from data sets.

EEG Toolbox

 

Specialized functions for EEG artifact detection and data quality computations ensure the highest-quality results. Adaptive filtering or bandpower analyses extract a variety of EEG signal parameters. The parameter extraction section also includes the extraction of Hjorth and Barlow parameters. Signal similarities in the time domain are determined by cross-correlation methods. In the frequency domain, coherence  analyses yield linear couplings as functions of frequency. Signal averaging methods allow determination of phase-locked Evoked Potentials. A section with sophisticated functions for Event-Related Desynchronization and Event-Related Synchronization analyses allows investigation of stimulus- but non-phase locked EEG phenomena.

 

Classify Toolbox

 

Classification enables categorization of patterns and signal features of biosignals into different classes. In the learning phase of supervised learning, classifiers are trained with signal patterns and signal features with known class information. After the training phase, the classifier is ready to categorize new signal patterns into the specific classes.

High Resolution EEG Toolbox

 

The investigation of patterns and signal features of EEG data, combined with anatomical information based on MRI or CT, data allows noninvasive observation of brain functions and dysfunctions. With the graphical user interface of g.HReeg, you can perform spatiotemporal analyses of multi-channel electroencephalogram data. 3D spatial highpass filtering allows you to visualize local EEG phenomena e.g. in the central areas. In addition, you can load and save your preferred processing steps as a script program and automatically process your data in batch mode.

 

Spike Toolbox

 

The spike toolbox contains specialized functions for the analysis of position, spike activity and multi-unit activity.

 

ECG Toolbox

 

g.ECGtoolbox is a software package for ECG data processing and analysis. The investigation of patterns and signal features of ECGs allows users to noninvasively observe brain and heart functions and dysfunctions. The graphical user interface for g.ECGtoolbox enables you to investigate all important time and frequency domain features of your electrocardiogram (ECG) data, such as RR intervals or HRV maps. You can load and save your preferred processing steps as a script program and automatically process your data in batch mode.

 

CFM Toolbox
 
With this toolbox, you can calculate the amplitude integrated EEG (aEEG) signal from any already recorded EEG signal. The aEEG signal is also known as cerebral function monitor signal (CFM) and is used in the neonatal intensive care unit. The aEEG signal gives a time compressed activity report of the ongoing EEG signal and has gained widespread popularity as an alternative to the conventional EEG monitoring in neonates. aEEG monitoring is very useful for the assessment of ischemic encephalopathy, seizures and intraventricular haemorrhage.

 

Quick Links:

*** COPYRIGHT @ 2023 UTE ALL RIGHT RESERVED

Contact:

Ultra Technology Engineering (SA021790-w)

1115, Block A4, Pusat Dagang Setia Jaya, 9 Jalan

PJS 8/9, Bandar Sunway 46150 Selangor, Malaysia

+603 - 8066 6726

 

For any enquiry or sales:

enquiry@ute-my.com

 

For any support:

support@ute-my.com

Community:

Interactive Environment For

Multimodal Biosignal Data Processing

 

g.BSanalyze - Offline Biosignal Analysis For Maltlab

 

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 ten years, and is used in more than 70 countries. It is the most comprehensive package 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, and more

 

Toolboxes of g.BSanalyze

 

g.BSanalyze consists of a base version for data import, visualization, transformation and pre-processing and has several dedicated 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
  • Classify 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
  • CFM toolbox: calculate amplitude integrated EEG
  • SPIKE toolbox: analyze spikes, multi-unit activity and positions to map physiological parameters

The package comes with many sample biosignal data-sets, including P300, SSVEP, motor imagery, CSP BCIs, Tilt-Table, EPs, multi-unit activity, CFM, 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 2-D and 3-D visualization tools to rapidly generate publication ready figures
  • Enhancement of power with g.tec's specialized EEG, aEEG, ECG, SPIKE, CLASSIFY and High-Resolution EEG toolboxes
  • Flexibility to integrate other MATLAB toolboxes, as well as customers' specific algorithms
  • Analyze data from: g.Recorder, Highspeed On-line Processing for Simulink, MATLAB and C API and many other 3rd-party recording devices
  • More than 100 state-of-the-art functions for analyzing biosignal data
  • More than 15 years of development and used in over 70 countries worldwide
  • The only package that supports all BCI principles: P300, motor imagery, SSVEP/SSSEP, slow cortical potentials
  • Optimized for high-gamma activity analysis
  • Discharge artifact removal algorithms for TMS experiments

 

More Information

Base Version: General Analyze

 

The Base Version of g.BSanalyze allows the visualization, processing and basic analyses of EEG, ECoG, ECG, EOG, EMG, spikes, respiration, pulse, and other physical signals. An intuitive data editor lets you scroll through the data set, adding annotations and comments. Semi-automatic artifact detections and manual correction possibilities yield the highest quality data for further analysis. Data set triggering on events and event-related signal changes can be performed based on markers and signal channels. Temporal filtering and spatial filtering (e.g. Common Spatial Patterns, ICA, PCA, CCA) allow extracting hidden information from data sets.

EEG Toolbox

 

Specialized functions for EEG artifact detection and data quality computations ensure the highest-quality results. Adaptive filtering or bandpower analyses extract a variety of EEG signal parameters. The parameter extraction section also includes the extraction of Hjorth and Barlow parameters. Signal similarities in the time domain are determined by cross-correlation methods. In the frequency domain, coherence  analyses yield linear couplings as functions of frequency. Signal averaging methods allow determination of phase-locked Evoked Potentials. A section with sophisticated functions for Event-Related Desynchronization and Event-Related Synchronization analyses allows investigation of stimulus- but non-phase locked EEG phenomena.

 

Classify Toolbox

 

Classification enables categorization of patterns and signal features of biosignals into different classes. In the learning phase of supervised learning, classifiers are trained with signal patterns and signal features with known class information. After the training phase, the classifier is ready to categorize new signal patterns into the specific classes.

High Resolution EEG Toolbox

 

The investigation of patterns and signal features of EEG data, combined with anatomical information based on MRI or CT, data allows noninvasive observation of brain functions and dysfunctions. With the graphical user interface of g.HReeg, you can perform spatiotemporal analyses of multi-channel electroencephalogram data. 3D spatial highpass filtering allows you to visualize local EEG phenomena e.g. in the central areas. In addition, you can load and save your preferred processing steps as a script program and automatically process your data in batch mode.

 

Spike Toolbox

 

The spike toolbox contains specialized functions for the analysis of position, spike activity and multi-unit activity.

 

ECG Toolbox

 

g.ECGtoolbox is a software package for ECG data processing and analysis. The investigation of patterns and signal features of ECGs allows users to noninvasively observe brain and heart functions and dysfunctions. The graphical user interface for g.ECGtoolbox enables you to investigate all important time and frequency domain features of your electrocardiogram (ECG) data, such as RR intervals or HRV maps. You can load and save your preferred processing steps as a script program and automatically process your data in batch mode.

 

CFM Toolbox
 
With this toolbox, you can calculate the amplitude integrated EEG (aEEG) signal from any already recorded EEG signal. The aEEG signal is also known as cerebral function monitor signal (CFM) and is used in the neonatal intensive care unit. The aEEG signal gives a time compressed activity report of the ongoing EEG signal and has gained widespread popularity as an alternative to the conventional EEG monitoring in neonates. aEEG monitoring is very useful for the assessment of ischemic encephalopathy, seizures and intraventricular haemorrhage.

 

Quick Links:

*** COPYRIGHT @ 2023 UTE ALL RIGHT RESERVED

Contact:

Ultra Technology Engineering (SA021790-w)

1115, Block A4, Pusat Dagang Setia Jaya, 9 Jalan

PJS 8/9, Bandar Sunway 46150 Selangor, Malaysia

+603 - 8066 6726

 

For any enquiry or sales:

enquiry@ute-my.com

 

For any support:

support@ute-my.com

Community:

Interactive Environment For Multimodal Biosignal Data Processing

 

g.BSanalyze - Offline Biosignal Analysis For Maltlab

 

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 ten years, and is used in more than 70 countries. It is the most comprehensive package 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, and more

 

Toolboxes of g.BSanalyze

 

g.BSanalyze consists of a base version for data import, visualization, transformation and pre-processing and has several dedicated 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
  • Classify 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
  • CFM toolbox: calculate amplitude integrated EEG
  • SPIKE toolbox: analyze spikes, multi-unit activity and positions to map physiological parameters

The package comes with many sample biosignal data-sets, including P300, SSVEP, motor imagery, CSP BCIs, Tilt-Table, EPs, multi-unit activity, CFM, 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 2-D and 3-D visualization tools to rapidly generate publication ready figures
  • Enhancement of power with g.tec's specialized EEG, aEEG, ECG, SPIKE, CLASSIFY and High-Resolution EEG toolboxes
  • Flexibility to integrate other MATLAB toolboxes, as well as customers' specific algorithms
  • Analyze data from: g.Recorder, Highspeed On-line Processing for Simulink, MATLAB and C API and many other 3rd-party recording devices
  • More than 100 state-of-the-art functions for analyzing biosignal data
  • More than 15 years of development and used in over 70 countries worldwide
  • The only package that supports all BCI principles: P300, motor imagery, SSVEP/SSSEP, slow cortical potentials
  • Optimized for high-gamma activity analysis
  • Discharge artifact removal algorithms for TMS experiments

 

More Information

Base Version: General Analyze

 

The Base Version of g.BSanalyze allows the visualization, processing and basic analyses of EEG, ECoG, ECG, EOG, EMG, spikes, respiration, pulse, and other physical signals. An intuitive data editor lets you scroll through the data set, adding annotations and comments. Semi-automatic artifact detections and manual correction possibilities yield the highest quality data for further analysis. Data set triggering on events and event-related signal changes can be performed based on markers and signal channels. Temporal filtering and spatial filtering (e.g. Common Spatial Patterns, ICA, PCA, CCA) allow extracting hidden information from data sets.

EEG Toolbox

 

Specialized functions for EEG artifact detection and data quality computations ensure the highest-quality results. Adaptive filtering or bandpower analyses extract a variety of EEG signal parameters. The parameter extraction section also includes the extraction of Hjorth and Barlow parameters. Signal similarities in the time domain are determined by cross-correlation methods. In the frequency domain, coherence  analyses yield linear couplings as functions of frequency. Signal averaging methods allow determination of phase-locked Evoked Potentials. A section with sophisticated functions for Event-Related Desynchronization and Event-Related Synchronization analyses allows investigation of stimulus- but non-phase locked EEG phenomena.

 

Classify Toolbox

 

Classification enables categorization of patterns and signal features of biosignals into different classes. In the learning phase of supervised learning, classifiers are trained with signal patterns and signal features with known class information. After the training phase, the classifier is ready to categorize new signal patterns into the specific classes.

High Resolution EEG Toolbox

 

The investigation of patterns and signal features of EEG data, combined with anatomical information based on MRI or CT, data allows noninvasive observation of brain functions and dysfunctions. With the graphical user interface of g.HReeg, you can perform spatiotemporal analyses of multi-channel electroencephalogram data. 3D spatial highpass filtering allows you to visualize local EEG phenomena e.g. in the central areas. In addition, you can load and save your preferred processing steps as a script program and automatically process your data in batch mode.

 

Spike Toolbox

 

The spike toolbox contains specialized functions for the analysis of position, spike activity and multi-unit activity.

 

ECG Toolbox

 

g.ECGtoolbox is a software package for ECG data processing and analysis. The investigation of patterns and signal features of ECGs allows users to noninvasively observe brain and heart functions and dysfunctions. The graphical user interface for g.ECGtoolbox enables you to investigate all important time and frequency domain features of your electrocardiogram (ECG) data, such as RR intervals or HRV maps. You can load and save your preferred processing steps as a script program and automatically process your data in batch mode.

 

CFM Toolbox
 
With this toolbox, you can calculate the amplitude integrated EEG (aEEG) signal from any already recorded EEG signal. The aEEG signal is also known as cerebral function monitor signal (CFM) and is used in the neonatal intensive care unit. The aEEG signal gives a time compressed activity report of the ongoing EEG signal and has gained widespread popularity as an alternative to the conventional EEG monitoring in neonates. aEEG monitoring is very useful for the assessment of ischemic encephalopathy, seizures and intraventricular haemorrhage.

 

Quick Links:

Contact:

Ultra Technology Engineering (SA021790-w)

1115, Block A4, Pusat Dagang Setia Jaya, 9 Jalan

PJS 8/9, Bandar Sunway 46150 Selangor, Malaysia

+603 - 8066 6726

 

For any enquiry or sales:

enquiry@ute-my.com

 

For any support:

support@ute-my.com

Community:

*** COPYRIGHT @ 2023 UTE ALL RIGHT RESERVED

Interactive Environment For Multimodal Biosignal Data Processing

 

g.BSanalyze - Offline Biosignal Analysis For Maltlab

 

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 ten years, and is used in more than 70 countries. It is the most comprehensive package 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, and more

 

Toolboxes of g.BSanalyze

 

g.BSanalyze consists of a base version for data import, visualization, transformation and pre-processing and has several dedicated 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
  • Classify 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
  • CFM toolbox: calculate amplitude integrated EEG
  • SPIKE toolbox: analyze spikes, multi-unit activity and positions to map physiological parameters

The package comes with many sample biosignal data-sets, including P300, SSVEP, motor imagery, CSP BCIs, Tilt-Table, EPs, multi-unit activity, CFM, 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 2-D and 3-D visualization tools to rapidly generate publication ready figures
  • Enhancement of power with g.tec's specialized EEG, aEEG, ECG, SPIKE, CLASSIFY and High-Resolution EEG toolboxes
  • Flexibility to integrate other MATLAB toolboxes, as well as customers' specific algorithms
  • Analyze data from: g.Recorder, Highspeed On-line Processing for Simulink, MATLAB and C API and many other 3rd-party recording devices
  • More than 100 state-of-the-art functions for analyzing biosignal data
  • More than 15 years of development and used in over 70 countries worldwide
  • The only package that supports all BCI principles: P300, motor imagery, SSVEP/SSSEP, slow cortical potentials
  • Optimized for high-gamma activity analysis
  • Discharge artifact removal algorithms for TMS experiments

 

More Information

Base Version: General Analyze

 

The Base Version of g.BSanalyze allows the visualization, processing and basic analyses of EEG, ECoG, ECG, EOG, EMG, spikes, respiration, pulse, and other physical signals. An intuitive data editor lets you scroll through the data set, adding annotations and comments. Semi-automatic artifact detections and manual correction possibilities yield the highest quality data for further analysis. Data set triggering on events and event-related signal changes can be performed based on markers and signal channels. Temporal filtering and spatial filtering (e.g. Common Spatial Patterns, ICA, PCA, CCA) allow extracting hidden information from data sets.

EEG Toolbox

 

Specialized functions for EEG artifact detection and data quality computations ensure the highest-quality results. Adaptive filtering or bandpower analyses extract a variety of EEG signal parameters. The parameter extraction section also includes the extraction of Hjorth and Barlow parameters. Signal similarities in the time domain are determined by cross-correlation methods. In the frequency domain, coherence  analyses yield linear couplings as functions of frequency. Signal averaging methods allow determination of phase-locked Evoked Potentials. A section with sophisticated functions for Event-Related Desynchronization and Event-Related Synchronization analyses allows investigation of stimulus- but non-phase locked EEG phenomena.

 

Classify Toolbox

 

Classification enables categorization of patterns and signal features of biosignals into different classes. In the learning phase of supervised learning, classifiers are trained with signal patterns and signal features with known class information. After the training phase, the classifier is ready to categorize new signal patterns into the specific classes.

High Resolution EEG Toolbox

 

The investigation of patterns and signal features of EEG data, combined with anatomical information based on MRI or CT, data allows noninvasive observation of brain functions and dysfunctions. With the graphical user interface of g.HReeg, you can perform spatiotemporal analyses of multi-channel electroencephalogram data. 3D spatial highpass filtering allows you to visualize local EEG phenomena e.g. in the central areas. In addition, you can load and save your preferred processing steps as a script program and automatically process your data in batch mode.

 

Spike Toolbox

 

The spike toolbox contains specialized functions for the analysis of position, spike activity and multi-unit activity.

 

ECG Toolbox

 

g.ECGtoolbox is a software package for ECG data processing and analysis. The investigation of patterns and signal features of ECGs allows users to noninvasively observe brain and heart functions and dysfunctions. The graphical user interface for g.ECGtoolbox enables you to investigate all important time and frequency domain features of your electrocardiogram (ECG) data, such as RR intervals or HRV maps. You can load and save your preferred processing steps as a script program and automatically process your data in batch mode.

 

CFM Toolbox
 
With this toolbox, you can calculate the amplitude integrated EEG (aEEG) signal from any already recorded EEG signal. The aEEG signal is also known as cerebral function monitor signal (CFM) and is used in the neonatal intensive care unit. The aEEG signal gives a time compressed activity report of the ongoing EEG signal and has gained widespread popularity as an alternative to the conventional EEG monitoring in neonates. aEEG monitoring is very useful for the assessment of ischemic encephalopathy, seizures and intraventricular haemorrhage.

 

Contact:

Ultra Technology Engineering (SA021790-w)

1115, Block A4, Pusat Dagang Setia Jaya, 9 Jalan

PJS 8/9, Bandar Sunway 46150 Selangor, Malaysia

+603 - 8066 6726

 

For any enquiry or sales:

enquiry@ute-my.com

 

For any support:

support@ute-my.com

*** COPYRIGHT @ 2023 UTE ALL RIGHT RESERVED

Community:

Interactive Environment For Multimodal Biosignal Data Processing

 

g.BSanalyze - Offline Biosignal Analysis For Maltlab

 

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 ten years, and is used in more than 70 countries. It is the most comprehensive package 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, and more

 

Toolboxes of g.BSanalyze

 

g.BSanalyze consists of a base version for data import, visualization, transformation and pre-processing and has several dedicated 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
  • Classify 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
  • CFM toolbox: calculate amplitude integrated EEG
  • SPIKE toolbox: analyze spikes, multi-unit activity and positions to map physiological parameters

The package comes with many sample biosignal data-sets, including P300, SSVEP, motor imagery, CSP BCIs, Tilt-Table, EPs, multi-unit activity, CFM, 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 2-D and 3-D visualization tools to rapidly generate publication ready figures
  • Enhancement of power with g.tec's specialized EEG, aEEG, ECG, SPIKE, CLASSIFY and High-Resolution EEG toolboxes
  • Flexibility to integrate other MATLAB toolboxes, as well as customers' specific algorithms
  • Analyze data from: g.Recorder, Highspeed On-line Processing for Simulink, MATLAB and C API and many other 3rd-party recording devices
  • More than 100 state-of-the-art functions for analyzing biosignal data
  • More than 15 years of development and used in over 70 countries worldwide
  • The only package that supports all BCI principles: P300, motor imagery, SSVEP/SSSEP, slow cortical potentials
  • Optimized for high-gamma activity analysis
  • Discharge artifact removal algorithms for TMS experiments

 

More Information

Base Version: General Analyze

 

The Base Version of g.BSanalyze allows the visualization, processing and basic analyses of EEG, ECoG, ECG, EOG, EMG, spikes, respiration, pulse, and other physical signals. An intuitive data editor lets you scroll through the data set, adding annotations and comments. Semi-automatic artifact detections and manual correction possibilities yield the highest quality data for further analysis. Data set triggering on events and event-related signal changes can be performed based on markers and signal channels. Temporal filtering and spatial filtering (e.g. Common Spatial Patterns, ICA, PCA, CCA) allow extracting hidden information from data sets.

EEG Toolbox

 

Specialized functions for EEG artifact detection and data quality computations ensure the highest-quality results. Adaptive filtering or bandpower analyses extract a variety of EEG signal parameters. The parameter extraction section also includes the extraction of Hjorth and Barlow parameters. Signal similarities in the time domain are determined by cross-correlation methods. In the frequency domain, coherence  analyses yield linear couplings as functions of frequency. Signal averaging methods allow determination of phase-locked Evoked Potentials. A section with sophisticated functions for Event-Related Desynchronization and Event-Related Synchronization analyses allows investigation of stimulus- but non-phase locked EEG phenomena.

 

Classify Toolbox

 

Classification enables categorization of patterns and signal features of biosignals into different classes. In the learning phase of supervised learning, classifiers are trained with signal patterns and signal features with known class information. After the training phase, the classifier is ready to categorize new signal patterns into the specific classes.

High Resolution EEG Toolbox

 

The investigation of patterns and signal features of EEG data, combined with anatomical information based on MRI or CT, data allows noninvasive observation of brain functions and dysfunctions. With the graphical user interface of g.HReeg, you can perform spatiotemporal analyses of multi-channel electroencephalogram data. 3D spatial highpass filtering allows you to visualize local EEG phenomena e.g. in the central areas. In addition, you can load and save your preferred processing steps as a script program and automatically process your data in batch mode.

 

Spike Toolbox

 

The spike toolbox contains specialized functions for the analysis of position, spike activity and multi-unit activity.

 

ECG Toolbox

 

g.ECGtoolbox is a software package for ECG data processing and analysis. The investigation of patterns and signal features of ECGs allows users to noninvasively observe brain and heart functions and dysfunctions. The graphical user interface for g.ECGtoolbox enables you to investigate all important time and frequency domain features of your electrocardiogram (ECG) data, such as RR intervals or HRV maps. You can load and save your preferred processing steps as a script program and automatically process your data in batch mode.

 

CFM Toolbox
 
With this toolbox, you can calculate the amplitude integrated EEG (aEEG) signal from any already recorded EEG signal. The aEEG signal is also known as cerebral function monitor signal (CFM) and is used in the neonatal intensive care unit. The aEEG signal gives a time compressed activity report of the ongoing EEG signal and has gained widespread popularity as an alternative to the conventional EEG monitoring in neonates. aEEG monitoring is very useful for the assessment of ischemic encephalopathy, seizures and intraventricular haemorrhage.

 

Quick Links:

*** COPYRIGHT @ 2023 UTE ALL RIGHT RESERVED

Contact:

Ultra Technology Engineering (SA021790-w)

1115, Block A4, Pusat Dagang Setia Jaya, 9 Jalan

PJS 8/9, Bandar Sunway 46150 Selangor, Malaysia

+603 - 8066 6726

 

For any enquiry or sales:

enquiry@ute-my.com

 

For any support:

support@ute-my.com

Community:

Interactive Environment For Multimodal Biosignal Data Processing

 

g.BSanalyze - Offline Biosignal Analysis For Maltlab

 

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 ten years, and is used in more than 70 countries. It is the most comprehensive package 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, and more

 

Toolboxes of g.BSanalyze

 

g.BSanalyze consists of a base version for data import, visualization, transformation and pre-processing and has several dedicated 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
  • Classify 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
  • CFM toolbox: calculate amplitude integrated EEG
  • SPIKE toolbox: analyze spikes, multi-unit activity and positions to map physiological parameters

The package comes with many sample biosignal data-sets, including P300, SSVEP, motor imagery, CSP BCIs, Tilt-Table, EPs, multi-unit activity, CFM, 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 2-D and 3-D visualization tools to rapidly generate publication ready figures
  • Enhancement of power with g.tec's specialized EEG, aEEG, ECG, SPIKE, CLASSIFY and High-Resolution EEG toolboxes
  • Flexibility to integrate other MATLAB toolboxes, as well as customers' specific algorithms
  • Analyze data from: g.Recorder, Highspeed On-line Processing for Simulink, MATLAB and C API and many other 3rd-party recording devices
  • More than 100 state-of-the-art functions for analyzing biosignal data
  • More than 15 years of development and used in over 70 countries worldwide
  • The only package that supports all BCI principles: P300, motor imagery, SSVEP/SSSEP, slow cortical potentials
  • Optimized for high-gamma activity analysis
  • Discharge artifact removal algorithms for TMS experiments

 

More Information

Base Version: General Analyze

 

The Base Version of g.BSanalyze allows the visualization, processing and basic analyses of EEG, ECoG, ECG, EOG, EMG, spikes, respiration, pulse, and other physical signals. An intuitive data editor lets you scroll through the data set, adding annotations and comments. Semi-automatic artifact detections and manual correction possibilities yield the highest quality data for further analysis. Data set triggering on events and event-related signal changes can be performed based on markers and signal channels. Temporal filtering and spatial filtering (e.g. Common Spatial Patterns, ICA, PCA, CCA) allow extracting hidden information from data sets.

EEG Toolbox

 

Specialized functions for EEG artifact detection and data quality computations ensure the highest-quality results. Adaptive filtering or bandpower analyses extract a variety of EEG signal parameters. The parameter extraction section also includes the extraction of Hjorth and Barlow parameters. Signal similarities in the time domain are determined by cross-correlation methods. In the frequency domain, coherence  analyses yield linear couplings as functions of frequency. Signal averaging methods allow determination of phase-locked Evoked Potentials. A section with sophisticated functions for Event-Related Desynchronization and Event-Related Synchronization analyses allows investigation of stimulus- but non-phase locked EEG phenomena.

 

Classify Toolbox

 

Classification enables categorization of patterns and signal features of biosignals into different classes. In the learning phase of supervised learning, classifiers are trained with signal patterns and signal features with known class information. After the training phase, the classifier is ready to categorize new signal patterns into the specific classes.

High Resolution EEG Toolbox

 

The investigation of patterns and signal features of EEG data, combined with anatomical information based on MRI or CT, data allows noninvasive observation of brain functions and dysfunctions. With the graphical user interface of g.HReeg, you can perform spatiotemporal analyses of multi-channel electroencephalogram data. 3D spatial highpass filtering allows you to visualize local EEG phenomena e.g. in the central areas. In addition, you can load and save your preferred processing steps as a script program and automatically process your data in batch mode.

 

Spike Toolbox

 

The spike toolbox contains specialized functions for the analysis of position, spike activity and multi-unit activity.

 

ECG Toolbox

 

g.ECGtoolbox is a software package for ECG data processing and analysis. The investigation of patterns and signal features of ECGs allows users to noninvasively observe brain and heart functions and dysfunctions. The graphical user interface for g.ECGtoolbox enables you to investigate all important time and frequency domain features of your electrocardiogram (ECG) data, such as RR intervals or HRV maps. You can load and save your preferred processing steps as a script program and automatically process your data in batch mode.

 

CFM Toolbox
 
With this toolbox, you can calculate the amplitude integrated EEG (aEEG) signal from any already recorded EEG signal. The aEEG signal is also known as cerebral function monitor signal (CFM) and is used in the neonatal intensive care unit. The aEEG signal gives a time compressed activity report of the ongoing EEG signal and has gained widespread popularity as an alternative to the conventional EEG monitoring in neonates. aEEG monitoring is very useful for the assessment of ischemic encephalopathy, seizures and intraventricular haemorrhage.

 

Contact:

Ultra Technology Engineering (SA021790-w)

1115, Block A4, Pusat Dagang Setia Jaya,

9 Jalan PJS 8/9, Bandar Sunway 46150 Selangor, Malaysia

+603 - 8066 6726

 

For any enquiry or sales:

enquiry@ute-my.com

 

For any support:

support@ute-my.com

Community:

*** COPYRIGHT @ 2023 UTE ALL RIGHT RESERVED

Interactive Environment For Multimodal Biosignal Data Processing

 

g.BSanalyze - Offline Biosignal Analysis For Maltlab

 

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 ten years, and is used in more than 70 countries. It is the most comprehensive package 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, and more

 

Toolboxes of g.BSanalyze

 

g.BSanalyze consists of a base version for data import, visualization, transformation and pre-processing and has several dedicated 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
  • Classify 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
  • CFM toolbox: calculate amplitude integrated EEG
  • SPIKE toolbox: analyze spikes, multi-unit activity and positions to map physiological parameters

The package comes with many sample biosignal data-sets, including P300, SSVEP, motor imagery, CSP BCIs, Tilt-Table, EPs, multi-unit activity, CFM, 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 2-D and 3-D visualization tools to rapidly generate publication ready figures
  • Enhancement of power with g.tec's specialized EEG, aEEG, ECG, SPIKE, CLASSIFY and High-Resolution EEG toolboxes
  • Flexibility to integrate other MATLAB toolboxes, as well as customers' specific algorithms
  • Analyze data from: g.Recorder, Highspeed On-line Processing for Simulink, MATLAB and C API and many other 3rd-party recording devices
  • More than 100 state-of-the-art functions for analyzing biosignal data
  • More than 15 years of development and used in over 70 countries worldwide
  • The only package that supports all BCI principles: P300, motor imagery, SSVEP/SSSEP, slow cortical potentials
  • Optimized for high-gamma activity analysis
  • Discharge artifact removal algorithms for TMS experiments

 

More Information

Base Version: General Analyze

 

The Base Version of g.BSanalyze allows the visualization, processing and basic analyses of EEG, ECoG, ECG, EOG, EMG, spikes, respiration, pulse, and other physical signals. An intuitive data editor lets you scroll through the data set, adding annotations and comments. Semi-automatic artifact detections and manual correction possibilities yield the highest quality data for further analysis. Data set triggering on events and event-related signal changes can be performed based on markers and signal channels. Temporal filtering and spatial filtering (e.g. Common Spatial Patterns, ICA, PCA, CCA) allow extracting hidden information from data sets.

EEG Toolbox

 

Specialized functions for EEG artifact detection and data quality computations ensure the highest-quality results. Adaptive filtering or bandpower analyses extract a variety of EEG signal parameters. The parameter extraction section also includes the extraction of Hjorth and Barlow parameters. Signal similarities in the time domain are determined by cross-correlation methods. In the frequency domain, coherence  analyses yield linear couplings as functions of frequency. Signal averaging methods allow determination of phase-locked Evoked Potentials. A section with sophisticated functions for Event-Related Desynchronization and Event-Related Synchronization analyses allows investigation of stimulus- but non-phase locked EEG phenomena.

 

Classify Toolbox

 

Classification enables categorization of patterns and signal features of biosignals into different classes. In the learning phase of supervised learning, classifiers are trained with signal patterns and signal features with known class information. After the training phase, the classifier is ready to categorize new signal patterns into the specific classes.

High Resolution EEG Toolbox

 

The investigation of patterns and signal features of EEG data, combined with anatomical information based on MRI or CT, data allows noninvasive observation of brain functions and dysfunctions. With the graphical user interface of g.HReeg, you can perform spatiotemporal analyses of multi-channel electroencephalogram data. 3D spatial highpass filtering allows you to visualize local EEG phenomena e.g. in the central areas. In addition, you can load and save your preferred processing steps as a script program and automatically process your data in batch mode.

 

Spike Toolbox

 

The spike toolbox contains specialized functions for the analysis of position, spike activity and multi-unit activity.

 

ECG Toolbox

 

g.ECGtoolbox is a software package for ECG data processing and analysis. The investigation of patterns and signal features of ECGs allows users to noninvasively observe brain and heart functions and dysfunctions. The graphical user interface for g.ECGtoolbox enables you to investigate all important time and frequency domain features of your electrocardiogram (ECG) data, such as RR intervals or HRV maps. You can load and save your preferred processing steps as a script program and automatically process your data in batch mode.

 

CFM Toolbox
 
With this toolbox, you can calculate the amplitude integrated EEG (aEEG) signal from any already recorded EEG signal. The aEEG signal is also known as cerebral function monitor signal (CFM) and is used in the neonatal intensive care unit. The aEEG signal gives a time compressed activity report of the ongoing EEG signal and has gained widespread popularity as an alternative to the conventional EEG monitoring in neonates. aEEG monitoring is very useful for the assessment of ischemic encephalopathy, seizures and intraventricular haemorrhage.

 

Contact::

Ultra Technology Engineering (SA021790-w)

1115, Block A4, Pusat Dagang Setia Jaya, 9 Jalan PJS 8/9, Bandar Sunway 46150 Selangor, Malaysia

+603 - 8066 6726

 

For any enquiry or sales:

enquiry@ute-my.com

 

For any support:

support@ute-my.com

Community:

*** COPYRIGHT @ 2023 UTE ALL RIGHT RESERVED