------------------------------------------
Setting up environment variables
---
LD_LIBRARY_PATH is .:/opt/matlab/R2016b/runtime/glnxa64:/opt/matlab/R2016b/bin/glnxa64:/opt/matlab/R2016b/sys/os/glnxa64:/opt/matlab/R2016b/sys/opengl/lib/glnxa64
processing ID sub-010
the input is raw data with 72 channels and 1200 trials
Warning: could not determine dimord of "chanlocs" in:

         hdr: [1x1 struct]
     fsample: 500
       trial: {1x1200 cell}
        time: {1x1200 cell}
       label: {72x1 cell}
         cfg: [1x1 struct]
        elec: [1x1 struct]
    chanlocs: [1x72 struct]


 In '/mnt/beegfs/home/kosciessa/.mcrCache9.1/a7_pre1/mnt/beegfs/home/kosciessa/eegmp/eegmp_preproc/tools/fieldtrip/utilities/private/getdimord.m' at line 784
 In '/mnt/beegfs/home/kosciessa/.mcrCache9.1/a7_pre1/mnt/beegfs/home/kosciessa/eegmp/eegmp_preproc/tools/fieldtrip/utilities/private/getdimord.m' at line 734
 In '/mnt/beegfs/home/kosciessa/.mcrCache9.1/a7_pre1/mnt/beegfs/home/kosciessa/eegmp/eegmp_preproc/tools/fieldtrip/utilities/private/makessense.m' at line 41
 In '/mnt/beegfs/home/kosciessa/.mcrCache9.1/a7_pre1/mnt/beegfs/home/kosciessa/eegmp/eegmp_preproc/tools/fieldtrip/utilities/ft_datatype_raw.m' at line 90
 In '/mnt/beegfs/home/kosciessa/.mcrCache9.1/a7_pre1/mnt/beegfs/home/kosciessa/eegmp/eegmp_preproc/tools/fieldtrip/utilities/ft_checkdata.m' at line 277
 In '/mnt/beegfs/home/kosciessa/.mcrCache9.1/a7_pre1/mnt/beegfs/home/kosciessa/eegmp/eegmp_preproc/tools/fieldtrip/ft_componentanalysis.m' at line 185

Warning: could not determine dimord of "chanlocs" in:

         hdr: [1x1 struct]
     fsample: 500
       trial: {1x1200 cell}
        time: {1x1200 cell}
       label: {72x1 cell}
         cfg: [1x1 struct]
        elec: [1x1 struct]
    chanlocs: [1x72 struct]


Warning: could not determine dimord of "chanlocs" in:

         hdr: [1x1 struct]
     fsample: 500
       trial: {1x1200 cell}
        time: {1x1200 cell}
       label: {72x1 cell}
         cfg: [1x1 struct]
        elec: [1x1 struct]
    chanlocs: [1x72 struct]


Warning: could not determine dimord of "chanlocs" in:

         hdr: [1x1 struct]
     fsample: 500
       trial: {1x1200 cell}
        time: {1x1200 cell}
       label: {72x1 cell}
         cfg: [1x1 struct]
        elec: [1x1 struct]
    chanlocs: [1x72 struct]


Warning: could not determine dimord of "chanlocs" in:

         hdr: [1x1 struct]
     fsample: 500
       trial: {1x1200 cell}
        time: {1x1200 cell}
       label: {72x1 cell}
         cfg: [1x1 struct]
        elec: [1x1 struct]
    chanlocs: [1x72 struct]


the call to "ft_selectdata" took 1 seconds and required the additional allocation of an estimated 535 MB
baseline correcting data 
scaling data with 1 over 70.834579
not concatenating data
starting decomposition using predetermined unmixing matrix
also applying the unmixing matrix to the elec structure
Warning: copying input chantype to montage
Warning: copying input chanunit to montage
the call to "ft_componentanalysis" took 6 seconds and required the additional allocation of an estimated 1535 MB
removing 16 components
keeping 55 components
the call to "ft_selectdata" took 0 seconds and required the additional allocation of an estimated 1 MB
processing trials
processing trial 143 from 1200processing trial 288 from 1200processing trial 442 from 1200processing trial 598 from 1200processing trial 754 from 1200processing trial 909 from 1200processing trial 1041 from 1200processing trial 1143 from 1200processing trial 1200 from 1200
also applying the backprojection matrix to the elec structure
Warning: copying input chantype to montage
Warning: copying input chanunit to montage
the call to "ft_rejectcomponent" took 3 seconds and required the additional allocation of an estimated 7 MB
Warning: sampleinfo in the configuration is inconsistent with the actual data
Warning: reconstructing sampleinfo by assuming that the trials are consecutive segments of a continuous recording
the call to "ft_selectdata" took 0 seconds and required the additional allocation of an estimated 1 MB
preprocessing
preprocessing trial 6 from 1036preprocessing trial 140 from 1036preprocessing trial 283 from 1036preprocessing trial 426 from 1036preprocessing trial 565 from 1036preprocessing trial 705 from 1036preprocessing trial 848 from 1036preprocessing trial 990 from 1036preprocessing trial 1036 from 1036
the call to "ft_preprocessing" took 1 seconds and required the additional allocation of an estimated 5 MB
the call to "ft_selectdata" took 1 seconds and required the additional allocation of an estimated 2 MB
preprocessing
preprocessing trial 23 from 1036preprocessing trial 54 from 1036preprocessing trial 87 from 1036preprocessing trial 119 from 1036preprocessing trial 150 from 1036preprocessing trial 182 from 1036preprocessing trial 217 from 1036preprocessing trial 253 from 1036preprocessing trial 289 from 1036preprocessing trial 324 from 1036preprocessing trial 358 from 1036preprocessing trial 391 from 1036preprocessing trial 424 from 1036preprocessing trial 457 from 1036preprocessing trial 491 from 1036preprocessing trial 528 from 1036preprocessing trial 565 from 1036preprocessing trial 599 from 1036preprocessing trial 634 from 1036preprocessing trial 666 from 1036preprocessing trial 698 from 1036preprocessing trial 730 from 1036preprocessing trial 763 from 1036preprocessing trial 795 from 1036preprocessing trial 827 from 1036preprocessing trial 864 from 1036preprocessing trial 898 from 1036preprocessing trial 932 from 1036preprocessing trial 965 from 1036preprocessing trial 999 from 1036preprocessing trial 1020 from 1036preprocessing trial 1036 from 1036
the call to "ft_preprocessing" took 4 seconds and required the additional allocation of an estimated 3 MB
the input is raw data with 66 channels and 1036 trials
the call to "ft_selectdata" took 0 seconds and required the additional allocation of an estimated 0 MB
assuming that the data is EEG, use cfg.senstype to overrule this
Your data and configuration allow for multiple sensor definitions.
Warning: using electrodes specified in the configuration\n
There are 2 bad channels
There are 0 missing channels
Spherical spline and surface Laplacian interpolation will treat bad and missing channels the same. Missing channels will be concatenated at the end of your data structure.
Checking spherical fit... perfect spherical fit (residual: 0.0%)
computing weight matrix... done!

interpolating channels for 1036 trials ............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
the call to "ft_channelrepair" took 3 seconds and required the additional allocation of an estimated 3 MB