Feature/eeg#2
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…plemented first draft of concentration message
…brain decoding of concentration. Added for helper folder for a better overview over 2D windowing source.
…ding in the new folder. Implemented erp signal and information
moperezs
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There are some eeg cap companies that provide APIs. Not sure if you already took a look, but it could be a good example to cross validate the message types and fields.
I leave here some links to some that you may work in the future with:
…GeneralInfo.msg Co-authored-by: Monica Perez Serrano <moperez@ethz.ch>
… up comments for clarity Update BrainDecodingConcentration.msg to rename signal_quality to quality for consistency. removed unused source file format
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| float32 confidence # Optional model confidence | ||
| float32 signal_quality # From 0 (poor) to 1 (excellent) |
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sorry which comment does this refer to?
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I don't think so. I have not heard about using one multiple times. so should I use this message type nested?
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…r clarity and consistency. Implemented sleep_stage
… and improve clarity. Removed sample payload
…ced documentation
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I don't know why but I cannot reply to your comments directly. Both features are crucial when Classifying ERP. the latency is the time from the trigger to a certain ERP. As there are standard time spans this info is very important. The same for amplitude becausethere are also standards for this feature for each ERP |
…array formatting in EEGInfo.msg
Hey @TCUL8 ! Alright let's keep the features. I was wondering if we could rename these two to make them more general. Since ERP can also be computed from other raw signals coming from the brain, like MEG So maybe we could rename these: to something like (?) wdyt? |
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I already did rename those. |
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