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hackathon
brain_age_from_eeg
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bb947a62
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bb947a62
authored
May 24, 2017
by
Alexis Veracruz
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@@ -56,26 +56,23 @@ Same dimensions as the raw data. Gives a coloring to the EEG data, that shows ho
1.
Extract (𝜶, 𝛽, 𝛾,𝜃) Waveform
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Divide into 2s epochs
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Features extraction using neural netork
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FFT: static
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Short-Time FFT: FFR with window
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Compute static features for each epoch
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Channel coherence (each wave)
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Channel correlation Pearson (each wave)
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Embedding a lower dimensional manifold
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Reduce dimensionality
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Reduce component analysis
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Localized linear embedding (tSNE)
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Wavelet
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Analyse distances in reduced space between 2013 & 2014 baselines
a. FFT: static
b. Short-Time FFT: FFR with window
c. Compute static features for each epoch
d. Channel coherence (each wave)
e. Channel correlation Pearson (each wave)
4.
Embedding a lower dimensional manifold
a. PCA
b. LDA
c. Localized linear embedding (tSNE)
5.
Analyse distances in reduced space between 2013 & 2014 baselines
### Clustering
*
Aggloremative
*
k-means
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NNMF (Non Negative Matrix Factorization)
#### Measures
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Dynamics Time warping (Distance Meausure)
## Results
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