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Net Station Waveform Tools - College of Education & Human ...

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chapter 19<br />

CHAPTER 19STATISTIC<br />

EXTRACTION<br />

Concepts<br />

T<br />

he Statistic Extraction tool is designed to operate on <strong>Net</strong> <strong>Station</strong> averaged or<br />

segmented files. It outputs a tab-delimited text file <strong>of</strong> the statistical analysis.<br />

The tool contains panes for waveform, source, and wavelet data. <strong>Waveform</strong> data refers<br />

to the scalp data (in microvolts) acquired with your Geodesic EEG System. Source data<br />

are the cortex data (in nano-amp meters) derived by using EGI’s GeoSource s<strong>of</strong>tware.<br />

Wavelet data are joint time-frequency information produced when you run the<br />

Wavelet tool on your data.<br />

For each input file <strong>of</strong> waveform or source data, the Statistic Extraction tool outputs a<br />

tab-delimited text file containing one or more statistical analyses. For both single or<br />

multiple input files <strong>of</strong> wavelet data, the Statistic Extraction tool outputs a single tabdelimited<br />

text file.<br />

You typically use the Statistic Extraction tool to help determine whether a particular<br />

component is statistically different between experimental conditions. To do this, you<br />

run the Statistic Extraction tool on a multisubject averaged file and import the output<br />

into a statistical s<strong>of</strong>tware package (for example, SPSS or JMP) for analysis.<br />

For each analysis, you need to specify the following parameters:<br />

• a time window<br />

• a statistical measure (mean amplitude, adaptive mean, minimum amplitude,<br />

maximum amplitude, or latency)<br />

• how the measure is to be reported for each channel group<br />

• one or more categories<br />

• one or more channel groups<br />

<strong>Net</strong> <strong>Station</strong> <strong>Waveform</strong> <strong>Tools</strong> Technical Manual S-MAN-200-WFTR-001 • December 21, 2006<br />

169

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