rit_outlier_filt.m

function [output, varargout] = rit_outlier_filt(signal, thr)
%% HELP
% Copyright 2020-2021 Ivana Labounkova(1,2), Rene Labounek(2), Igor Nestrasil(2,3),
%     Jan Odstrcilik(1), Ralf P. Tornow(4), Radim Kolar(1)
% (1) Department of Biomedical Engineering, Brno University of Technology, Brno, Czech Republic
% (2) Division of Clinical Behavioral Neuroscience, Department of Pediatrics, University of Minnesota, Minneapolis, USA
% (3) Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, USA
% (4) Department of Ophthalmology, Friedrich-Alexander University of Erlangen-Nuremberg, Erlangen, Germany
% 
% This file is part of Retina Imaging Toolbox available at: https://github.com/ivanalabounkova/retinaimagingtoolbox
% 
% Retina Imaging Toolbox is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or any later version.
% 
% Retina Imaging Toolbox is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
% GNU General Public License for more details.
% 
% You should have received a copy of the GNU General Public License
% along with Retina Imaging Toolbox.  If not, see <https://www.gnu.org/licenses/>.
% 
% Papers related to specific RIT functions are listed in the cite_papers.txt file.
%%
signal_norm = (signal-mean(signal))/std(signal);
signal_norm = abs(signal_norm);
positions = sign(sum(abs([(signal_norm>thr)'; [diff(signal_norm>thr); 0]'; [0; diff(signal_norm>thr)]'])));
vec = 1:length(signal_norm);
output = interp1(vec(positions==0), signal(positions==0), vec);
output(isnan(output))=signal(isnan(output));
varargout{1} = positions;