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SW_Stats.m
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SW_Stats.m
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function Actigraphy_Stats(Algorithm)
clc
clear all
close all
if(Algorithm == 'morning')
%%%%%% Import data for Group 1: Controls
%path = '/home/aldo/Documents/Projects/Avtivemeter/Test/Group1/'
%path = '/home/aldo/Documents/Projects/Avtivemeter/Files/AWD_Files/All_day/Controls/'
path = '/home/aldo/Documents/Projects/Avtivemeter/Files/AWD_Files/Only_morning/Controls/'
%path = '/home/aldo/Documents/Projects/Avtivemeter/Files/AWD_Files/Nights/Controls/'
cd(path);
SUBJlist_Control = dir('*.mat');
for i = 1:length(SUBJlist_Control)
SUBJname_Control = SUBJlist_Control(i).name;
% path1=([path SUBJname]);
% cd(path1);
data=load(SUBJname_Control);
Control_aux(i,:,:) = data.aux;
end
t_control = data.time;
figure
plot(t_control, Control_aux');
%%%%%% Import data for Group 2: EMCSs
%path = '/home/aldo/Documents/Projects/Avtivemeter/Files/AWD_Files/All_day/EMCS/'
path = '/home/aldo/Documents/Projects/Avtivemeter/Files/AWD_Files/Only_morning/EMCS/'
%path = '/home/aldo/Documents/Projects/Avtivemeter/Files/AWD_Files/Nights/EMCS/'
cd(path);
SUBJlist_EMCS = dir('EMC*.mat');
for i = 1:length(SUBJlist_EMCS)
SUBJname_EMCS = SUBJlist_EMCS(i).name;
% path1=([path SUBJname]);
% cd(path1);
data=load(SUBJname_EMCS);
EMCS_aux(i,:,:) = data.aux;
end
t_emc = data.time;
figure
plot(t_emc,EMCS_aux');
%%%%%% import data for group 3: MCS-
%path = '/home/aldo/Documents/Projects/Avtivemeter/Files/AWD_Files/All_day/MCS-/'
path = '/home/aldo/Documents/Projects/Avtivemeter/Files/AWD_Files/Only_morning/MCS-/'
%path = '/home/aldo/Documents/Projects/Avtivemeter/Files/AWD_Files/Nights/MCS-'
cd(path);
SUBJlist_MCS_m = dir('MCS_m_*.mat');
for i = 1:length(SUBJlist_MCS_m)
SUBJname_MCS_m = SUBJlist_MCS_m(i).name;
% path1=([path SUBJname]);
% cd(path1);
data=load(SUBJname_MCS_m);
MCS_m_aux(i,:,:) = data.aux;
end
t_mcs_m = data.time;
figure
plot(t_mcs_m,MCS_m_aux');
%%%%%% import data for group 4: MCS+
%path = '/home/aldo/Documents/Projects/Avtivemeter/Files/AWD_Files/All_day/MCS+/'
path = '/home/aldo/Documents/Projects/Avtivemeter/Files/AWD_Files/Only_morning/MCS+/'
%path = '/home/aldo/Documents/Projects/Avtivemeter/Files/AWD_Files/Nights/MCS+'
cd(path);
SUBJlist_MCS_p = dir('MCS_p_*.mat');
for i = 1:length(SUBJlist_MCS_p)
SUBJname_MCS_p = SUBJlist_MCS_p(i).name;
% path1=([path SUBJname]);
% cd(path1);
data=load(SUBJname_MCS_p);
MCS_p_aux(i,:,:) = data.aux;
end
t_mcs_p = data.time;
figure
plot(t_mcs_p,MCS_p_aux');
%%%%%% import data for group 4-b: MCS+ and MCS-
%path = '/home/aldo/Documents/Projects/Avtivemeter/Files/AWD_Files/All_day/MCS/'
path = '/home/aldo/Documents/Projects/Avtivemeter/Files/AWD_Files/Only_morning/MCS/'
%path = '/home/aldo/Documents/Projects/Avtivemeter/Files/AWD_Files/Nights/MCS/'
cd(path);
SUBJlist_MCS = dir('MCS_*.mat');
for i = 1:length(SUBJlist_MCS)
SUBJname_MCS = SUBJlist_MCS(i).name;
data=load(SUBJname_MCS);
MCS_aux(i,:,:) = data.aux;
end
t_mcs = data.time;
figure
plot(t_mcs,MCS_aux');
%%%%%% import data for group 5: UWS
%path = '/home/aldo/Documents/Projects/Avtivemeter/Files/AWD_Files/All_day/UWS/'
path = '/home/aldo/Documents/Projects/Avtivemeter/Files/AWD_Files/Only_morning/UWS/'
%path = '/home/aldo/Documents/Projects/Avtivemeter/Files/AWD_Files/Nights/UWS'
cd(path);
SUBJlist_UWS = dir('UWS_*.mat');
for i = 1:length(SUBJlist_UWS)
SUBJname_UWS = SUBJlist_UWS(i).name;
% path1=([path SUBJname]);
% cd(path1);
data=load(SUBJname_UWS);
UWS_aux(i,:,:) = data.aux;
end
t_uws = data.time;
figure
plot(t_uws,UWS_aux');
figure
subplot(2,3,1); plot(t_control,Control_aux');
subplot(2,3,2); plot(t_emc, EMCS_aux');
subplot(2,3,3); plot(t_mcs_m, MCS_m_aux');
subplot(2,3,4); plot(t_mcs_p, MCS_p_aux');
subplot(2,3,5); plot(t_uws, UWS_aux');
% Ploting lustering Coeficent(CC), Path Length,
%%%%%% Small Worldness for control and Patient EMCS
figure
y2_CC = mean(Control_aux);
z2_CC = std(Control_aux)/sqrt (length(Control_aux));
errorbar(t_control,y2_CC,z2_CC, 'b'); grid on;
hold on
y3_CC = mean (EMCS_aux);
z3_CC = std (EMCS_aux)/sqrt (length(EMCS_aux));
errorbar (t_emc, y3_CC,z3_CC, 'r'); grid on;
title( 'Control vs EMCS')
ylabel('Spectral Amplitude (SA)', 'FontSize',28,'FontWeight','bold','Color','k')
xlabel('time (min)');
% Statastical difference between Control and EMCS
[h_EMCS_aux,p_EMCS_aux] = ttest2(Control_aux,EMCS_aux,0.05);
h_EMCS_aux
p_EMCS_aux
% Statastical difference between Control and MCS-
figure
y2_CC = mean(Control_aux);
z2_CC = std(Control_aux)/sqrt (length(Control_aux));
errorbar(t_control,y2_CC,z2_CC, 'b'); grid on;
hold on
y3_CC = mean (MCS_m_aux);
z3_CC = std (MCS_m_aux)/sqrt (length(MCS_m_aux));
errorbar (t_mcs_m, y3_CC,z3_CC, 'r'); grid on;
title( 'Control vs MCS-')
ylabel('Spectral Amplitude (SA)', 'FontSize',28,'FontWeight','bold','Color','k')
xlabel('time (min)');
[h_MCS_m_aux,p_MCS_m_aux] = ttest2(Control_aux,MCS_m_aux,0.05);
h_MCS_m_aux
p_MCS_m_aux
% Statastical difference between t Control and MCS+
figure
y2_CC = mean(Control_aux);
z2_CC = std(Control_aux)/sqrt (length(Control_aux));
errorbar(t_control,y2_CC,z2_CC, 'b'); grid on;
hold on
y3_CC = mean (MCS_p_aux);
z3_CC = std (MCS_p_aux)/sqrt (length(MCS_p_aux));
errorbar (t_mcs_p, y3_CC,z3_CC, 'r'); grid on;
title( 'Control vs MCS+')
ylabel('Spectral Amplitude (SA)', 'FontSize',28,'FontWeight','bold','Color','k')
xlabel('time (min)');
[h_MCS_p_aux,p_MCS_p_aux] = ttest2(Control_aux,MCS_p_aux,0.05);
h_MCS_p_aux
p_MCS_p_aux
% Statastical difference between t Control and MCS
figure
y2_CC = mean(Control_aux);
z2_CC = std(Control_aux)/sqrt (length(Control_aux));
errorbar(t_control,y2_CC,z2_CC, 'b'); grid on;
hold on
y3_CC = mean (MCS_aux);
z3_CC = std (MCS_aux)/sqrt (length(MCS_aux));
errorbar (t_mcs, y3_CC,z3_CC, 'r'); grid on;
title( 'Control vs MCS')
ylabel('Spectral Amplitude (SA)', 'FontSize',28,'FontWeight','bold','Color','k')
xlabel('time (min)');
[h_MCS_aux,p_MCS_aux] = ttest2(Control_aux,MCS_aux,0.05);
h_MCS_p_aux
p_MCS_p_aux
% Statastical difference between Control and UWS
figure
y2_CC = mean(Control_aux);
z2_CC = std(Control_aux)/sqrt (length(Control_aux));
errorbar(t_control,y2_CC,z2_CC, 'b'); grid on;
hold on
y3_CC = mean (UWS_aux);
z3_CC = std (UWS_aux)/sqrt (length(UWS_aux));
errorbar (t_uws, y3_CC,z3_CC, 'r'); grid on;
title('Control vs UWS')
ylabel('Spectral Amplitude (SA)', 'FontSize',28,'FontWeight','bold','Color','k')
xlabel('time (min)');
[h_UWS_aux,p_UWS_aux] = ttest2(Control_aux,UWS_aux,0.05);
h_UWS_aux
p_UWS_aux
%%% for Multiple Comparision
p_all_aux = [p_EMCS_aux p_MCS_m_aux p_MCS_p_aux p_UWS_aux];
[p_fdr, h_fdr] = fdr(p_all_aux, 0.09);
p_fdr
h_fdr
[p_mafdr] = mafdr(p_all_aux);
p_mafdr
% Statastical difference between two group for one tailed
% [h_CC_1tailed,p_CC_1tailed] = ttest2(Control_aux,EMCS_aux,0.05,'left');
%h_CC_1tailed
%p_CC_1tailed
%for i = 1:65
% [h_PL1(i),p_PL1(i)] = ttest2(sparsity_PL_normalised_Control(:,i),sparsity_PL_normalised_Patient(:,i),0.05,'left');
%end
%h_PL1
%p_PL1
%[p,h]=fdr(p_CC_Normalised,0.05);
%p
end