poc:2025:basic-quality-control [DokuWiki]

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===== 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. 

===== Environment & Setup =====

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.


===== Key Findings =====
==== What Worked ====
  * Bullet points of successful approaches

==== What Didn't Work ====
  * Failed approaches (and why)
  * Performance bottlenecks discovered
  * Incompatibilities found

==== Surprises & Insights ====
  * Unexpected discoveries
  * Hidden complexities
  * Simpler alternatives found

===== Recommendations =====
**Should we proceed?**: Yes/No/Maybe

**If yes, what needs to happen?**


===== External Resources =====
  * [[https://docs.example.com|Official Documentation]]
  * [[https://stackoverflow.com/questions/xxx|Relevant SO Discussion]]
  * [[Internal:wiki:related-page|Related Internal Documentation]]