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WinEEG software for Mitsar hardware is designed for recording and assessing up to 32 channels of EEG synchronously with video signals, as well as for recording and analyzing evoked responses.
WinEEG version 2.80.32 (Sep 08)
Click here to download WinEEG, Security key drivers and Mitsar drivers.
This is the latest version of the WinEEG software (version 2.80.32). This installation includes drivers for the Guardant USB security key and the amplifier in the installation. This is the only installation you need. File size is 253 mb. <16SEP08>
WinEEG basic version is a full software thantinuously recorded EEG using a Mitsar amplifier. WinEEG basic version is included with all Mitsar-201 amplifiers.
This software system easily allows for an advanced statistical assessment of the EEG, including spectra, coherence, event-related potentials (ERPs), event-related desynchronization/synchronization (ERD/ERS), and event-related wavelet transform. The advanced analysis of EEG enables the expert to define the locations and frequency bands of spontaneous EEG and evoked responses related to specific functions, such as attention, sensory discrimination, motor coordination, etc.
Each parameter can then be compared to a normative database of children and adults or exported for group statistics.
The EEG (up to 32 channels) is stored on the hard disk and available for subsequent analysis. During recording, the signals are continuously displayed on the screen. EEG can be recorded synchronously with visual and acoustic stimuli presentation for ERP/ERD studies. ERPs and ERDs are computed in psychological tasks of various designs. The task design is performed by Psytask or by the conventional Presentation software (Presentation, E-Prime). During EEG recording photoflash may be controlled manually or using predefined program. Automatic impedance measurement procedure helps to control a quality of electrodes setting.
A flexible review program allows fast display of the EEG on the computer monitor and immediate access to any part of the recording. Ten user definable labels may be used to mark EEG recordings for future quick access to this part.
Recorded EEG can be displayed in different montages: monopolar, bipolar, average reference, weighted average reference and etc. EEG can be filtered by IIR digital filters to change frequency band of recording to and eliminate environmental noise (50 or 60 Hz). Also EEG can be filtered by high order FIR filters.
WinEEG software includes the multichannel spectral analysis, brain mapping and coherence. Power spectra and coherence can be computed for any selected part of recorded EEG. Different parameters of spectra computed for predefined frequency band ranges can be displayed as histograms, maps and tables. The spectra data can be exported to other applications (standard statistical packages such as STATISTICA or SPSS ) by using ASCII format for a future statistical analysis.
Spike detector automatically detects, marks and averages spikes and sharp waves in EEG recording. High effective algorithm of automated spike detection based on both estimation of amplitude-temporal parameters of waveforms and equivalent dipole source applying to both raw EEG and decomposition of multi channel EEG on components (using PCA or ICA) helps to search for paroxysmal activity in long-term EEG records. Manual correction of results of spike detection algorithm provides a possibility to eliminate artifacts. Averaging of similar spike waveforms increases an accuracy of measurement.
Built in equivalent dipole localization algorithm help to identify a brain position of source of paroxysmal activity.
All patient information including EEG waveform and video can be saved to build-in database or written on CD. Build-in database helps to automatically search recording and provide automatically data processing, data averaging and exporting.
In addition all data can be stored and reviewed on any Windows-based PC.
The EEG can be recorded synchronously with video movie from one or two cameras and audio signal from microphone. Together with on-line MPEG4 compression of video signal and on-line MPEG3 compression of audio signal this feature provides long-term video EEG monitoring. Fast positioning to any selected time moment of video EEG record and playback of all recorded signals provide effective analysis of data.
The EEG can be reviewed and artifacts selected manually or advanced artifact rejection mode provides easy and fast search and elimination of bad EEG epochs. Artifact correction procedures are based on PCA or ICA decomposition of raw EEG and special filtering helps to increase quality of EEG record.
Visual and acoustic stimuli can be presented during the EEG recording so that event-related potentials (ERPs), event-related wavelet transform event-related de/synchronization (ERD/ERSs) and parameters of task performance (omission, commission errors, reaction time and its variance, measuring by special button) are computed off-line. Visual and auditory stimuli are presented on separate computer.
A set of conventional psychological tasks is provided. Latencies, amplitudes and topographic maps of different types of ERPs components (such as P300, mismatch negativity, GO/NOGO), of desynchronization and synchronization components in different frequency bands can be measured and statistically assessed.
3D mapping of data can be performed by LORETA software to which mapped data is transferred automatically
The spectra, coherence, ERP, ERD and etc. can be process in automated mode for collection of recording selected by user. The results of processing will be automatically stored to build-in database. The spectra, coherence, ERP, ERD and etc. can be averaging automatically mode for collection of recording selected by user.
Raw EEG can be exported to files with different formats such as ASCII, Binary, EDF and etc. Raw EEG can be imported from file with next formats EDF, UDF, ASCII, LEXICOR, NeuroScan v.4.
EEG spectra, coherence, ERP, ERD and parameters of task performance can be exported to ASCII file automatically for collection of recordings selected by user.
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