Net Station Analysis Tools Net Station simplifies analysis by allowing you to: • Use the Joint Time-Frequency (JTF) wavelet transform to decompose EEG time-series data into both time and frequency components. • Define the JTF frequency range, frequency step (resolution), baseline options, and region-restrict features. • Analyze JTF data with the adaptive mean, latency, mean, and minimum and maximum amplitude statistical measures. • Use the JTF statistical measures on channel groups (montages) and categories. • Statistically extract JTF data using user-defined time and frequency ranges. • Use the Gratton, Coles, and Donchin method to remove eye blink artifacts from EEG data. • Handle single- or multiple-subject files with standard t-test analysis options. • Compare two conditions by row or column using a t-test with output of t-values for each channel and time point to a text file. • Detect artifacts with improved, comprehensive scripts. • Compare the difference between the maximum and minimum of a given region against a user-settable threshold using a new artifact-detection tool. • Add events into Net Station recording and session files using input from tab-delimited text files and Persyst CSV files. • Segment and mark up files based on single event criteria, conditional event criteria using Boolean logic, and temporally related event criteria. • Use standard preset or custom filter settings. • Detect and mark up artifacts and bad channels. • Replace bad channels using spherical splines. • Average trials for individual files and multiple subjects. • Reference using standard and user-defined reference presets with optional PARE (Polar Average Reference Effect) correction. • Baseline correct data using a portion of a segment or window around an event. • Link multiple tools to streamline workflow. • Batch files for large jobs. • Combine file selections and categories. • Use statistical measures on channel groups (montages) and categories. • Compare categories using difference wave. • Export events to tab-delimited file for behavioral analysis. • Save files to tab-delimited text, EDF+, simple binary (documentation provided), MATLAB, and Persyst file formats. • Use expandable analysis options with BESA and EMSE source localization packages. • Export a file history of Net Station files for a complete record of all transforms and tools applied to a file. • Export file history containing input file names, date and time of transform, and tool settings. • Export to MATLAB file format retaining multiple event tracks. • Organize Net Station Waveform Tools specifications with tool sets. • Include averages of each category and a noise estimate for each category in the output files of the Averaging tool. • Create a script of analysis tools for your study and run your entire set of recordings through at once with the batch function.
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