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Simulations show spurious(?) left/right difference potentially due to handling of localite/T1 data #20

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mekman opened this issue May 23, 2023 · 5 comments
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@mekman
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mekman commented May 23, 2023

Average Ipa in 85 mask

"*the difference between the left and right transducer's average Isppa is mostly caused by a shift of the localite data with respect to our T1's"

@KTZ228 waiting for your clarification on whether the shift is constant across participants?

@mekman mekman added the bug Something isn't working label May 23, 2023
@mekman mekman self-assigned this May 23, 2023
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mekman commented May 23, 2023

@MaCuinea just pinging you here

@mekman mekman pinned this issue May 23, 2023
@KTZ228
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KTZ228 commented Apr 25, 2024

This is an issue that popped up in Sjoerd's dataset. This might have been caused by him using a beta version of Localite.
Soha is using the old version of Localite so it would be interesting to check whether this issue also occurs in her dataset. If not, than we should simply stop using the beta version of Localite.

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KTZ228 commented Apr 25, 2024

Additionally, it would be nice if the functionality for translating all Localite coordinates could be integrated into the existing [position_transducer_localite])https://github.com/Donders-Institute/PRESTUS/blob/master/functions/position_transducer_localite.m) script, instead of it just reading out the first set of coordinates.

@jkosciessa jkosciessa assigned jkosciessa and MaCuinea and unassigned mekman and jkosciessa Sep 30, 2024
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@MaCuinea If I understood you correctly, you are looking into the localite alignment right now, correct? Maybe you could add some details to the issue here, if it isn't already fixed.

@jkosciessa jkosciessa unpinned this issue Sep 30, 2024
@MaCuinea
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MaCuinea commented Oct 4, 2024

@MaCuinea If I understood you correctly, you are looking into the localite alignment right now, correct? Maybe you could add some details to the issue here, if it isn't already fixed.

I am not looking into the localite alignment in such a way. The issue that I had with Soha's dataset is most likely caused by the deviation found when registering someone's head.

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