... | ... | @@ -96,6 +96,7 @@ Component classification can only be done on files that have successfully run th |
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* Heartbeat
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* Muscle
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* Mixed Signal
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These percentages sum to 100% and the category with the highest % is selected as the guessed type. This information is useful in getting a general overview of what type of components can be found in your data, even if you don not completely trust its choices.
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![diag3](/uploads/dfa4b9cb0401bc516f5b8ebe9524f874/diag3.png)
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These figures can give you a quick idea on how well you are isolating components. Ideally you are looking for components that have have a high % in one category, indicating a clear isolation.
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# Creating your own plotting functions
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In order to create your own diagnostics tool you should make sure you are familiar with:
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* The above content
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* [Marks](https://git.sharcnet.ca/bucanl_eeglab_extensions/vised_marks/wikis/home) structure and creating by script.
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* [Configuration files](https://git.sharcnet.ca/bucanl_eeglab_extensions/batch_context/wikis/configuration-files)
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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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We are currently working on this section of the Wiki.
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%%%%%%%%%%%%%%%%%%%%%%%%%%
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Sample matrix representation of the calculate->flag->mark path for a channel mark.
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| | Epoch Number | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | | |
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|--------------|------------------|------|------|------|------|------|------|------|------|------|------|----------------|----------------------------|
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... | ... | @@ -114,9 +127,6 @@ Sample matrix representation of the calculate->flag->mark path for a channel mar |
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| Flag | Criteria (0.1) | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4/10 (0.4,40%) | Result: Channel is flagged |
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We are currently working on this section of the Wiki.
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%%%%%%%%%%%%%%%%%%%%%%%%%%
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# Fin Script QA
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* Data Visualisation
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* Component Selection
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