function [ RR_gapFilled, t_gapFilled] = RR_Preprocessing_for_MSE_DFA(rr, t )
%
% [ RR_gapFilled, t_gapFilled] = RR_Preprocessing_for_MSE_DFA(rr, t )
%
% OVERVIEW: This function deals with missing data in rr time series for
% long range HRV measure
%
%
% INPUT: rr - a single row of rr interval data in seconds
% t - the time indices of the rr interval data
% (seconds)
% OUTPUT: RR_gapFilled - RR intervals with gaps filled with median
% values
% t_gapFilled - time indices of RR_gapFilled
%
% DEPENDENCIES & LIBRARIES:
% PhysioNet Cardiovascular Signal Toolbox
% https://github.com/cliffordlab/PhysioNet-Cardiovascular-Signal-Toolbox
%
% REFERENCE:
% Vest et al. "An Open Source Benchmarked HRV Toolbox for Cardiovascular
% Waveform and Interval Analysis" Physiological Measurement (In Press), 2018.
%
% REPO:
% https://github.com/cliffordlab/PhysioNet-Cardiovascular-Signal-Toolbox
% ORIGINAL SOURCE AND AUTHORS:
% Written by Giulia Da Poian (giulia.dap@gmail.com) and Pradyumna Suresha
% (pradyumna.suresha@gmail.com)
%
% COPYRIGHT (C) 2016
% LICENSE:
% This software is offered freely and without warranty under
% the GNU (v3 or later) public license. See license file for
% more information
%
t_gapFilled = t;
RR_gapFilled = rr;
% NOTE: 26 April 2018 This function is under development and will be released soon