EEG Feature Engineering and Selection
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Adapted from an appendix of my MS thesis. Feature Engineering & Selection The event related features consist of chunks of time series concatenated from all the channels, resulting from a low pass or band pass filtering and a down sampling step. This category of features is relevant when considering evoked activity after the presentation of a stimulus (visual, auditory, or sensory). They are therefore of interest when one is expecting significant changes in several amplitudes occurring at a…
1Key Takeaways
- Adapted from an appendix of my MS thesis.
- Feature Engineering & Selection The event related features consist of chunks of time series concatenated from all the channels, resulting from a low pass or band pass filtering and a down sampling step.
- This category of features is relevant when considering evoked activity after the presentation of a stimulus (visual, auditory, or sensory).
- They are therefore of interest when one is expecting significant changes in several amplitudes occurring at a….
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that adapted from an appendix of my MS thesis.
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