Find automatically data of interest

1 view (last 30 days)
Daniele Sonaglioni
Daniele Sonaglioni on 25 Oct 2022
Commented: dpb on 25 Oct 2022
Hello everyone,
I havew a question about how to improve my code.
I have a time-Temperature profile that is a bit noisy: my goal is to automatically find the heating, cooling and isotheramal portions by only looking at the first derivative of the temperature with respect to the time. Unluckily, the code is not perfect but I don't know how to improve it: can anyone help me?
Attached you can fine the test data and the code I use together with the subroutines.
close all
clear
tic
load 'conv_ageing_atm5_m60p80_01to2048s_bif_74165.txt'
conv_ageing_atm5_m60p80_01to2048s_bif_74165;
t=conv_ageing_atm5_m60p80_01to2048s_bif_74165(1:end,2);
T=conv_ageing_atm5_m60p80_01to2048s_bif_74165(1:end,3);
Cp=conv_ageing_atm5_m60p80_01to2048s_bif_74165(1:end,4);
time=conv_ageing_atm5_m60p80_01to2048s_bif_74165(1:end,5);
un=[1:1:length(T)];
ratew=(gradient(T)./gradient(time));
rate=smoothdata(ratew,'movmedian',30);
rate=nearest(rate);
flag=zeros(length(T),1);
for i=1:length(T)
if rate(i)>0;
flag(i)=1;
else if rate(i)==0;
flag(i)=0;
else if rate(i)<0;
flag(i)=-1;
end
end
end
end
[y]=remove_outliers(flag);
figure(1)
plot(un,flag,'o')
hold on
plot(un,y,'ro')
[Aw,Bw,Cw]=group_data(y);%Aw=heating/Bw=isother/Cw=cooling
[Vw]=organize_vector(Aw);%heating
[Uw]=organize_vector(Bw);%isotherm
[Ww]=organize_vector(Cw);%cooling
formatSpec = 'You have %d heating scans\n';
fprintf(formatSpec,length(Vw))
formatSpec2 = 'You have %d isotherms\n';
fprintf(formatSpec2,length(Uw))
formatSpec3 = 'You have %d cooling scans\n';
fprintf(formatSpec3,length(Ww))
toc
  5 Comments
Daniele Sonaglioni
Daniele Sonaglioni on 25 Oct 2022
Dear @Jan,
when I wrote "the code is not perfect" I was referring to the fact that it detects some heating and/or cooling and/or isotherm segments that do not exist.
On the data that I have attached, there are 14 heating segments, 40 isotherms and 25 cooling but the code finds more heating and isotherm scans.
By increasing the smoothing window I can solve the problem but I was wondering if there is an alternative way to solve the problem.
dpb
dpb on 25 Oct 2022
Might want to look at findchangepts in Signal Processing TB...

Sign in to comment.

Answers (1)

Jan
Jan on 25 Oct 2022
Some methods are "ugly":
load 'conv_ageing_atm5_m60p80_01to2048s_bif_74165.txt'
Loading data directly into the workspace creates variables dynamically. This impedes Matlab's JIT acceleration and the debugging. Prefer to load data into a specific variable:
Data = load('conv_ageing_atm5_m60p80_01to2048s_bif_74165.txt');
This line is a waste of time only:
conv_ageing_atm5_m60p80_01to2048s_bif_74165;
Use a less painful name for variables. Hiding important information in the name of variables is a programming anti-pattern:
value = Data.conv_ageing_atm5_m60p80_01to2048s_bif_74165;
Use ":" instead of "1:end", because it is faster:
% Replace: t = conv_ageing_atm5_m60p80_01to2048s_bif_74165(1:end,2); by
t = value(:, 2);
Replace the code:
flag=zeros(length(T),1);
for i=1:length(T)
if rate(i)>0;
flag(i)=1;
else if rate(i)==0;
flag(i)=0;
else if rate(i)<0;
flag(i)=-1;
end
end
end
end
by
flag = sign(rate);
[] is Matlab's operator for a concatenation of arrays. In
un=[1:1:length(T)];
you concatenate the vector 1:length(T) with nothing. Cleaner and faster:
un = 1:length(T);
  1 Comment
Daniele Sonaglioni
Daniele Sonaglioni on 25 Oct 2022
Thank you for your suggestion, I will encapsulate in my code!

Sign in to comment.

Categories

Find more on Biomedical Imaging in Help Center and File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!