[Eeglablist] Automatic channel rejection by script

Mon Jul 9 16:51:37 PDT 2018

Dear Sebastian,

> Is there a way to extract the actual indices of rejected channels so that
in the later step the correct channels are interpolated?

You have it, which is [1:7 9 10:13 15 16:20 22 23 24 26 27:122 127]

> Can this somehow be done via the the electrode names rather their indices?

You can obtain it as

rejectedChannelLabels = {EEG.chanlocs([1:7 9 10:13 15 16:20 22 23 24 26
27:122 127]).labels}';

For this kind of operation, see below. The wiki page is about how to deal
with event types, but the same techniques can be used for EEG.chanlocs.
https://sccn.ucsd.edu/wiki/Makoto's_useful_EEGLAB_code#Event_types

Makoto

On Mon, Jul 9, 2018 at 11:13 AM Sebastian Sauppe <sauppe.s at gmail.com> wrote:

> Dear EEGLAB list members,
>
> during preprocessing of data from a 128 channel EGI Geodesic Sensor Net, I
> want to automatically reject channels and save their indices so that I can
> later interpolate the reject channels. However, I want to exclude EOG
> channels from this step because I want to keep them for classifying ICs
> later.
>
> When I run the command (excluding EOG channels)
>
> >> [EEG, indelec] = pop_rejchan(EEG, 'elec',[1:7 9 10:13 15 16:20 22 23 24
> 26 27:122 127] ,'threshold',5,'norm','on','measure','kurt’);
>
> EEGLAB rejects 10 channels in my example data set and gives me their
> indices. However, the indices are continuously counted excluding the EOGs
> so that they don’t always reflect the channel indices in the actual
> dataset. The EOGs are channels [E8 E14 E21 E25 E126 E126 E127 E128] and in
> the list with rejected channels, for example E9 has index 8 because E8 was
> not included, E15 has index 13 because E14 was not included etc.
>
> Is there a way to extract the actual indices of rejected channels so that
> in the later step the correct channels are interpolated? Can this somehow
> be done via the the electrode names rather their indices?
>
> Any hint is highly appreciated.
>
> Computing kurtosis for channels...
> 10 electrodes labeled for rejection
> # Elec. Measure
> 1 E1 21.11 *Bad*
> 2 E2 0.52
> 3 E3 5.41 *Bad*
> 4 E4 -1.22
> 5 E5 -0.90
> 6 E6 -0.70
> 7 E7 -0.55
> 8 E9 14.22 *Bad*
> 9 E10 5.08 *Bad*
> 10 E11 -1.37
> 11 E12 -1.14
> 12 E13 -1.17
> 13 E15 2.08
> 14 E16 2.31
> 15 E17 2.96
> 16 E18 4.43
> 17 E19 1.90
> 18 E20 2.88
> 19 E22 2.19
> 20 E23 3.88
> 21 E24 8.80 *Bad*
> 22 E26 -0.60
> 23 E27 13.31 *Bad*
> 24 E28 -1.03
> 25 E29 0.45
> 26 E30 -0.72
> 27 E31 -0.86
> 28 E32 4.64
> 29 E33 -0.48
> 30 E34 -0.51
> 31 E35 -0.49
> 32 E36 -0.44
> 33 E37 -0.02
> 34 E38 -1.36
> 35 E39 -1.04
> 36 E40 -1.05
> 37 E41 -0.37
> 38 E42 0.07
> 39 E43 -0.65
> 40 E44 -0.88
> 41 E45 -0.73
> 42 E46 -0.99
> 43 E47 -0.36
> 44 E48 5.79 *Bad*
> 45 E49 -1.19
> 46 E50 -1.09
> 47 E51 -0.46
> 48 E52 -0.14
> 49 E53 -0.22
> 50 E54 0.01
> 51 E55 -0.21
> 52 E56 -0.33
> 53 E58 0.04
> 54 E59 -0.18
> 55 E60 -0.17
> 56 E61 -0.22
> 57 E62 -0.26
> 58 E63 -1.17
> 59 E64 -1.23
> 60 E65 0.10
> 61 E66 -0.71
> 62 E67 -0.05
> 63 E68 -0.91
> 64 E69 0.09
> 65 E70 -0.47
> 66 E71 -0.20
> 67 E72 -0.46
> 68 E73 -0.15
> 69 E74 0.67
> 70 E75 -0.31
> 71 E76 0.07
> 72 E77 -0.31
> 73 E78 0.07
> 74 E79 -0.10
> 75 E80 -0.21
> 76 E81 1.45
> 77 E82 3.49
> 78 E83 -0.18
> 79 E84 -0.38
> 80 E85 0.10
> 81 E86 0.25
> 82 E87 -0.06
> 83 E88 -0.90
> 84 E89 0.09
> 85 E90 0.16
> 86 E91 0.11
> 87 E92 0.16
> 88 E93 -0.03
> 89 E94 0.92
> 90 E95 -0.41
> 91 E96 0.31
> 92 E97 0.13
> 93 E98 0.12
> 94 E99 -1.40
> 95 E101 0.76
> 96 E102 0.19
> 97 E103 -0.18
> 98 E104 18.00 *Bad*
> 99 E105 -0.31
> 100 E106 -0.37
> 101 E107 -1.16
> 102 E108 -0.46
> 103 E109 -0.26
> 104 E110 -1.24
> 105 E111 -0.85
> 106 E112 -0.72
> 107 E113 -1.15
> 108 E114 -0.68
> 109 E115 0.00
> 110 E116 -1.26
> 111 E117 -1.00
> 112 E118 0.52
> 113 E119 44.10 *Bad*
> 114 E120 0.75
> 115 E121 34.52 *Bad*
> 116 E122 1.97
> 117 E123 -0.66
> 118 E124 -1.34
> 119 Cz -0.35
> Removing 10 channel(s)...
>
> Regards,
> Sebastian
>
> -----------
> Dr. Sebastian Sauppe
> Department of Comparative Linguistics, University of Zurich
> Homepage: https://sites.google.com/site/sauppes/
> Twitter: @SebastianSauppe <https://twitter.com/SebastianSauppe>
> Google Scholar Citations:
> https://scholar.google.de/citations?user=wEtciKQAAAAJ
> ResearchGate: http://www.researchgate.net/profile/Sebastian_Sauppe
> ORCID ID: http://orcid.org/0000-0001-8670-8197
>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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