On 1st June 2017, Digital signal processing lab was opened at the National Brain Mapping Laboratory.
The goal of the Digital signal processing Lab is to increase the quality of Studies through offering accurate and precise signal processing services to researchers.
Signal processing Laboratory contains high performance computer facilities for data analysis, signal and image visualization, and high-performance computation. Comprehensive software packages for analysis of different data are available for academic research purposes.
Analysis procedures include:
Data loading and preprocessing
In addition to standard EEG data types, our lab supports loading various MEG and EEG data formats including raw and epoched signals.
Time and Frequency visualization
Event Related Potential (ERP)
Based on experiment design, Event Related Potentials (ERPs) is extracted and in this lab a lot of visualization tools are available.
Artifact detection and rejection
A range of artifact rejection is done, automated and interactive data rejection or cleaning, as well as ICA-based artifact rejection. Also, epochs containing large artifacts are rejected based on visual inspection.
We have tried to use source localization techniques that are robust to noise and that are well informed by anatomy, neurophysiology, magnetic resonance imaging (MRI), and realistic volume conduction physics.
Source visualizaion on MRI images
Multiple subjects or sessions of data Processing
Our analysis support multiple-subject analysis and help the users to separate these measures into conditions, sessions, and/or subject groups.
Software and plugins:
Brain Vision Analyzer
Remove fMRI artifacts from EEG
Analysis and visualization of multivariate connectivity
For more information, please enquire at the reception:
National Brain Mapping Lab
North Karegar Ave., After Jalal Highway, College of Engineering, Tehran, Iran
Tel : (+98) 2188225396-9
Fax : (+98) 21-86093160
Email : firstname.lastname@example.org
Free EEG / ERP data:
1. EEG / ERP data available for free public download (more than 20 databases or datasets)
2. EEG from epileptic patients