NeuroDataDesign / orange-panda-f16s17

Automated EEG data analysis.
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for october 26 #17

Closed rmarren1 closed 7 years ago

rmarren1 commented 7 years ago

@rmarren1

^ DoD for all is a demo going from data to analysis

@nkumarcc

@mnatenz1

@tsunwong123

gkiar commented 7 years ago

👌

jovo commented 7 years ago

:ok_hand:

On Thu, Oct 20, 2016 at 5:33 PM, Ryan Marren notifications@github.com wrote:

@rmarren1 https://github.com/rmarren1 [ ] - modify server to get data from a S3 bucket rather than from user upload. [ ] - get group members code working in the pipeline (ICA, Kernel algorithm, PCA) [ ] - modify processing steps for demo (so it doesn't take too long, e.g. I don't think we need to generate all 111 spectrograms, or dump all of the pre-processed data back to the user) [ ] - add other data visualizations to the report generated (coherence if we get to it, this https://github.com/NeuroDataDesign/orange-panda/blob/master/eeg_data/EEG_Plots/HeatmapFixed2.jpeg, this https://github.com/NeuroDataDesign/orange-panda/blob/master/eeg_data/EEG_Plots/freq_plots/A00051826_rest_Cz.png )

@nkumarcc https://github.com/nkumarcc [ ] - code.md for kernel density [ ] - coherence code.md (reach)

@mnatenz1 https://github.com/mnatenz1 [ ] code.md for ICA

@tsunwong123 https://github.com/tsunwong123

  • code.md for PCA

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jovo commented 7 years ago

KDE

Coherence

PCA

Web-service

check out https://github.com/neurodata/checklists/blob/master/time-series.md (based on https://github.com/neurodata/checklists/blob/master/matrix.md) see https://github.com/neurodata/meda for implementation of matrix.md