Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
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