Recording
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.

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| EEG Recording |
Display
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.
Montages and filters
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.
Spectral analysis and Brain Mapping
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.

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| Spectral Analysis |

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| Wavelet Analysis |
Automatic spike detection
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.
Dipole source localization
Build in equivalent dipole
localization algorithm help to identify a brain position of source of paroxysmal activity.

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| 3D LORETA Mapping |

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| Comparison Analysis |
Build-in patient database for organization
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.