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@trospector / ideas / wiki/eeg-artifact-rejection.md
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--- first_captured: 2026-04-10 sources: - sources/google-sheets-ideas.md status: raw tags: - neurotech - ml - signal-processing - hardware title: EEG artifact rejection (self-supervised) type: idea updated: 2026-04-10 visibility: public --- # EEG artifact rejection (self-supervised) a self-supervised approach to EEG artifact rejection — cleaning neural signals without labeled training data. connects to the [[sensor-capturer|BCI / read-imprinting device]] work and Harrison's Orbit EEG experience. **spreadsheet evaluation:** blue ocean analysis: NEAR BLUE with high 2-month feasibility — one of only two NEAR BLUE ideas and rated high feasibility, making it one of the strongest candidates in the entire spreadsheet for actual execution. --- ## timeline - [2026-04-10] captured from google sheets blue ocean analysis — NEAR BLUE, high feasibility