BESA Research 7.0 腦磁波訊號來源分析軟體
系統需求
- 作業系統: Windows® 10, 8.1, 7 (32 位元、64 位元版本)
- 處理器: 至少 2 GHz
- 記憶體: 至少 4 GB; 建議: 8 GB 或更大
- 畫素: 至少 1280×800 像素
- 顯示卡: 支援OpenGL 1.1 配合 16 MB或更大的記憶體
Find the Product That Fits Your Needs
BESA offers four different products which cover many usage scenarios in neurophysiological data analysis in EEG and MEG.
Data Formats
Manage EEG / MEG data recorded by different systems in one application:
BESA Research can read files of more than 40 different EEG / MEG data formats. Exporting whole files or segments to EDF is possible.
BESA Epilepsy can read files of more than 10 different EEG data formats. The intuitive patient database is your starting point for study-centered review of routine and long-term EEG.
ERP/ERF
Use BESA Research for complete pre-processing and analysis. It includes artifact correction and rejection, peak finding, paradigm definition and grand averaging.
Use BESA Statistics to perform group and /or condition comparisons; it intrinsically solves the multiple testing problem and runs parameter free statistics. F-Test and t-Test are available.
EP
Use BESA Research to perform artifact rejection, averaging, and analysis. Save time with the intuitive, graphical user interface.
Source Analysis/Source Imaging
BESA Research is the most comprehensive toolbox for EEG / MEG source localization. Pattern search and averaging support your discrete and distributed source analysis. Generate source montages for reviewing the data. Fit single dipoles and regional sources, or use volume or cortical imaging methods for distributed source imaging. If you have no MRI data available, simply choose realistic children’s and adults’ FEM head models.
BESA MRI is required for source analysis with individual MRI. The integrated workflow concept makes it very easy to use. Create a 4-layer individual head model and co-register with EEG / MEG sensors.
Brain Connectivity and Spectral Analysis
Use BESA Research to calculate DSA or FFT of your data. Time frequency transforms, coherence and source coherence methods are available in the included Source Coherence module.
Cross-subject Statistics
Perform cluster permutation statistics on ERPs, source waveforms, images, time-frequency and coherence results with BESA Statistics.
Spikes in Epilepsy
(research use only outside the EU)
Use BESA Research to mark spikes manually. 3D Mapping and source montages support evaluation of the interictal activity. Run a pattern search to find similar patterns quickly and reliably. Average spikes for discrete or distributed source analysis. Analyze spike onset and check for propagation. If you have MRI data available, use BESA MRI to create an individual head model for source analysis.
Use BESA Epilepsy to run automatic spike detection with subsequent clustering and hyperclustering on children and adults. Obtain an overview of the spikes in a 24h EEG within 5 minutes. A report is generated automatically during evaluation.
Finally print the report or save it as PDF.
Use all three products in the BESA Pipeline to analyze interictal spikes and seizure onset.
Seizures in Epilepsy
(research use only outside the EU)
Use BESA Research to visualize seizure epochs in DSA. FFT supports your seizure analysis. Localize seizure onset using phase maps and averaged cycles. If you have MRI data available, use BESA MRI to create an individual head model for source analysis.
Use BESA Epilepsy to run automatic seizure detection on
adults. Detection requires less than 5 minutes for a 24h EEG. Check the result in seizure review using optimized montages and filters. A report is generated automatically during evaluation. Print the report or save it as PDF.
Use all three products in the BESA Pipeline to analyze interictal spikes and seizure onset.
Presurgical Evaluation in Epilepsy
(EU countries only)
The BESA Pipeline combines BESA Research, BESA Epilepsy and BESA MRI to analyze interictal spikes and seizure onset.
Clinical MEG
(research MEG data analysis only outside the EU)
Use MEG source montages in BESA Research to save time and facilitate MEG data review. Search for spikes and perform source analysis in MEG.