Medical Software

The most user-friendly and comprehensive software for source analysis and dipole localization in human EEG and MEG research is BESA Research 7.1. BESA Research 7.1 is a highly adaptable software that includes optimized tools and scripts for the preprocessing of raw or averaged data for source analysis and connectivity analysis.input:
output:
The most comprehensive signal processing toolbox in the world for the localization of EEG/MEG sources



The BESA Research package has established the benchmark for cutting-edge EEG and MEG data analysis for more than two decades. BESA research offers a user-friendly interface, innovative, customized analysis methods, and data review tools that ensure a convenient and seamless process for analyzing EEG/MEG data.


Superior artifact removal tools, such as EEG-fMRI;ERP/ERF paradigms and averaging;
Graphical artifact rejection tool;
Co-registration with individual MRI/fMRI; grand averaging of subjects and conditions.Time-Frequency AnalysisTime-frequency transformation of any montage data;Analysis of Connectivity:
Wavelets and/or complex demodulation;
In the sensor space or in the source space, state-of-the-art methods, such as Granger Causality and Partial Directed Coherence, are employed.Data visualization in clear 2D and 3D result plots.Workflow-guided user interaction.Source Analysis and Source Imaginginput:
output:Dipole fitting/regional, single dipoles;Volume-imaging: (s)LORETA, CLARA, LAURA, sSLOFO, user-defined;SESAME: Bayesian source imaging;
Cortical imaging on the individual or standard cortical surface: Minimum Norm;