[Eeglablist] I would like to train a data set with event information attached using EEGLAB using BCILAB ...
s1611341 at coins.tsukuba.ac.jp
s1611341 at coins.tsukuba.ac.jp
Thu Feb 6 01:53:40 PST 2020
Dear list
I'm using this mailing list for the first time, so I'm sorry if I did something wrong.
Also, I am not good at English, so it may be difficult to read sentences.
I want to use BCILAB to learn the measured EEG.
I measured EEG using OpenBCI.
In openbci, brain wave data is output as .txt.
Then, I sent the data to EEGLAB via MATLAB.
So I attached the event information and saved it as a .set.
Here are the questions.
I tried to learn the model using the data of the .set according to the instruction on the BCILAB page.
(https://sccn.ucsd.edu/wiki/BCILAB (https://sccn.ucsd.edu/wiki/BCILAB) Learning a Model)
However, I got an error.
-----------------------------------------------------
Error using fieldnames
Invalid input argument of type 'double'. Input must be a structure or a Java or COM
object.
Error in set_infer_chanlocs (line 58)
if isempty(fieldnames(locs)) && ~isempty(data.data)
Error in io_loadset (line 422)
res = set_infer_chanlocs(res,allopts.montage_disambiguation); end
Error in hlp_wrapresults (line 52)
[a{1:len}] = f(varargin{:});
Error in exp_eval (line 131)
varargout = hlp_wrapresults(x.head,x.parts{:});
Error in exp_beginfun (line 428)
parts{i} = exp_eval(parts{i},inf); %#ok<AGROW>
Error in set_targetmarkers (line 87)
if ~exp_beginfun('editing') return; end %#ok<SEPEX>
Error in hlp_wrapresults (line 52)
[a{1:len}] = f(varargin{:});
Error in exp_eval (line 131)
varargout = hlp_wrapresults(x.head,x.parts{:});
Error in hlp_scope>@(f,a,frame__f1)feval(f,a{:})
Error in hlp_scope (line 53)
[varargout{1:nargout}] = func(f,varargin);
Error in exp_eval_optimized (line 52)
[varargout{1:nargout}] =
hlp_scope({'memoize',{'memory',1,'disk',double(unpartitioned)}},
@exp_eval,x,iters);
Error in utl_check_bundle (line 42)
str{s} = exp_eval_optimized(str{s});
Error in bci_train (line 784)
opts.data{k} = utl_check_bundle(opts.data{k}); end
-------------------------------------------------------------------------------
I don't know what to do because i'm ignorant...
How can I train without this error?
I would be glad if you could answer this question.
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