Closed RobinGuillard closed 4 years ago
Note that if use in multidimensional context, the very simple rule of for AmplitudeThresholding
allows to discard independent event happening on a single electrode:
https://github.com/lkorczowski/Tinnitus-n-Sleep/blob/6f71ce59a3a91986ee881b5726d536b491735241/tinnsleep/classification.py#L69-L78
Therefore, I believe the most urgent element of this sprint should be proper validation of the methods we develop. To do so, I propose:
see tasks in #17
After that, any additional method (e.g. electrode disconnection) should be benchmarked using this report. It will save us time and sanity.
not sure it is completely done
Electrode disconnection added to Sprint 3 #28
Milestone to reach: 0.0.2
backlog for this sprint
Electrode disconnection
Bruxism event classification
Build automatic reporting for classification algorithm comparison
Build automatic reporting for clinical bruxism assessment
NOTES: