For September 26th - Githubissues

tsunwong123 commented 8 years ago

[x] To further understand the preprocessing pipeline. [Ryan's Links for the paper including algorithms here]. Research and take notes on the pros and cons of each method and also how to quantify the success of the algorithm: @nkumarcc - [X] Detecting bad channels - slides @rmarren1 - [X] Interpolating bad channels .pdf @mnatenz1 - [X] Removing eye artifacts . .....^^ @tsunwong123 - [X] Robust PCA .md
[x] Find packages in Python/R for some of the preprocessing algorithms. pyEEG in Python, 'eegAnalysis' in CRAN. Both have basic methods for analysis.

@nkumarcc

[X] Fix Fourier Transform graphs .Rmd
[ ] Collect details on holes in Eye-Tracking data .md

@rmarren1

[x] Demos of basic filtering used on the pipeline .ipynb

@tsunwong123

[x] Fix Heatmaps and put time on x-axis. screenshot
[x] Research more on filtering. Summarize (Gaussian filters, FIR, IIR, optimize signal-to-noise ratio) .md

@mnatenz1

[x] Read 60 pages of book. Notes .doc

gkiar commented 8 years ago

@tsunwong123 your task should require changing only 1 line of code, what else are you going to do? 👌 for the rest

tsunwong123 commented 8 years ago

@gkiar Added myself to do some additional readings on some filtering because I think it might be useful. Any specific suggestions on books or anything specific?

gkiar commented 8 years ago

Nothing that I've used recently stands out regarding filtering, but any DSP (digital signal processing) book ought to have a good section on filters. 👌

NeuroDataDesign / orange-panda-f16s17

For September 26th #13