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features
design
support

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Description

Utilize open-source machine learning tools and data visualization techniques to create dynamic data analysis workflows in a visual format, supported by a broad and varied collection of resources. Conduct straightforward data assessments accompanied by insightful visual representations, and investigate statistical distributions through box plots and scatter plots; for more complex inquiries, utilize decision trees, hierarchical clustering, heatmaps, multidimensional scaling, and linear projections. Even intricate multidimensional datasets can be effectively represented in 2D, particularly through smart attribute selection and ranking methods. Engage in interactive data exploration for swift qualitative analysis, enhanced by clear visual displays. The user-friendly graphic interface enables a focus on exploratory data analysis rather than programming, while intelligent defaults facilitate quick prototyping of data workflows. Simply position widgets on your canvas, link them together, import your datasets, and extract valuable insights! When it comes to teaching data mining concepts, we prefer to demonstrate rather than merely describe, and Orange excels in making this approach effective and engaging. The platform not only simplifies the process but also enriches the learning experience for users at all levels.

Description

g.BSanalyze serves as an engaging platform designed for the processing and examination of multimodal biosignal data, primarily aimed at clinical research and life sciences. Having been available for over two decades, it has gained traction in more than 70 countries worldwide. This software stands out as the most extensive toolkit for analyzing both non-invasive and invasive functions and dysfunctions of the brain, heart, and muscles. Its excellence has been recognized with multiple international awards. The latest version boasts a plethora of new features, including topographic plots, Canonical Correlation Analysis (CCA), advanced filtering options, a cortiQ file importer, enhancements for Result2D, tools for Cortico-Cortical Evoked Potentials, as well as dedicated toolboxes for electrocorticography (ECoG) and transcranial magnetic stimulation (TMS), among others. Additionally, the package includes numerous sample biosignal datasets, such as those for P300, SSVEP, motor imagery, CSP BCIs, Tilt-Table, event-related potentials (EPs), multi-unit activity, continuous flow magnetic (CFM), cortico-cortical evoked potentials (CCEP), and ERD/ERS. Furthermore, it features an interactive and user-friendly graphical interface tailored for the analysis and documentation of EEG, ECoG, EOG, EMG, ECG, spike data, and various physical datasets, all within the MATLAB environment. Overall, g.BSanalyze offers a comprehensive solution for researchers and practitioners seeking to delve into the complexities of biosignal analysis.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

$0.02/one-time
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

University of Ljubljana

Country

Slovenia

Website

orange.biolab.si

Vendor Details

Company Name

Guger Technologies

Country

Austria

Website

www.gtec.at/product/gbsanalyze/

Product Features

Data Mining

Data Extraction No 
Data Visualization No 
Fraud Detection No 
Linked Data Management No 
Machine Learning No 
Predictive Modeling No 
Semantic Search No 
Statistical Analysis No 
Text Mining No 

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation Yes 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery Yes 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Clinical Trial Management

21 CFR Part 11 Compliance No 
Document Management No 
Electronic Data Capture Yes 
Enrollment Management No 
HIPAA Compliant No 
Monitoring No 
Patient Database No 
Recruiting Management No 
Scheduling No 
Study Planning No 

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