... | ... | @@ -53,13 +53,13 @@ The third plot uses the results from the second plot. It adds up the marks for e |
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***
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* Example 1:
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* ```[sd_chan_p],2.236 ``` to ```[sd_chan_p],2 ```
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* ```[sd_chan_z],0.1 ``` to ```[sd_chan_z],0.5 ```
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* ```[sd_chan_z],2.236 ``` to ```[sd_chan_z],2 ```
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* ```[sd_chan_p],0.1 ``` to ```[sd_chan_p],0.5 ```
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This would lower the criteria for making the flags, and lower the amount that each channel needs to be flagged in order to marked as comically bad. This would flag more channels, and do **more removals** - potentially cleaning the data more.
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* Example 2:
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* ```[sd_chan_p],2.236 ``` to ```[sd_chan_p],3 ```
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* ```[sd_chan_z],0.1 ``` to ```[sd_chan_z],0.2```
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* ```[sd_chan_z],2.236 ``` to ```[sd_chan_z],3 ```
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* ```[sd_chan_p],0.1 ``` to ```[sd_chan_p],0.2```
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This would increase the criteria for making the flags, and increase the amount that each channel needs to be flagged in order to marked as comically bad. This would flag less channels, and do **less removals** - potentially reducing the data quality.
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... | ... | @@ -114,7 +114,12 @@ In order to create your own diagnostics tool you should make sure you are famili |
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This section will use these concepts along with [plotting in matlab](https://www.mathworks.com/help/matlab/creating_plots/types-of-matlab-plots.html) and the EEG. structure.
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All of the calculation results used in the figures generated by diagnostics are found in the EEG. structure.
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For Example:
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```data_sd_ch <135x1517> ``` is the matrix containing the results of the standard deviation test to find comically bad channels.
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```c_data_sd_ch <135x1517> ``` is the corresponding flag matrix flagging 1 where the standard deviation was above the ```sd_chan_z``` critical value.
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```marks.chan_info(2).flags``` is the corresponding channels marks where the channel had more % flagged then the ```sd_chan_p``` critical value.
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We are currently working on this section of the Wiki.
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