Template for Documenting Proof-of-Concept Projects

This is a guiding template for short-term exploratory projects. Many sections are optional either in their presence or scope and can be excluded based on the project at hand.

Quick Summary

Status: 🟡 In Progress
Duration: Sep 10 - ???
Type: Data Analysis/Infrastructure
Repository: TODO
Team: Fabricio, Sebastian

What we're exploring: Simple approaches for detecting faulty EEG recording segments.

Currently expected approach: * Compute multi-taper spectogram over 30s windows. * Extract individual PSD curves from the 30s windows. * Check whether this curve is an outlier compared to a collection of curves that were well-recorded.

Specifically: * Use the stages dataset to collect the “well-recorded” collection of PSD curves. * Learn some embedding based on this data. * Embed our recordings, and then manually try to find clusters of our outliers.

If we can then assign a probability of a window being an outlier, this can be used downstream for the majority voting of the U-Sleep. Thus, segments that e.g. lose contact over night may be ignored, and only well recorded ones are considered.

Important Note: * In the current multi-band EEG recording device, the derived is based on electrodes that are also used within the EEG channels. * Instead of trying to find “faulty EOG”, we can thus indirectly identify electrodes within the EEG.