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Forum › General › Neuroscience and EEG › interpolation to fill-in missing data
Tagged: #interpolation; #filtering; #removing
Hi everyone; I am trying to analyze data extracted with several devices (like Insight and MN8).
The problem arises after filtering and removing bad data (NaN, null, out of range, etc…)
My question is, what kind of interpolation should I use to fill in those missing data? Linear, polynomial, spline interpolation…
Any help is welcome, and thank you very much in advance!