Visualisation of multichannel time series data

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deboleena sadhukhan 2023-2-17

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评论： deboleena sadhukhan 2023-2-24

I have XxY sensor channels arranged in a matrix of X and Y dimension each recording time series data. As an output I have XxYxN matrix where X and Y are the spacial indices of the sensors and N in the time indices. How do I visualise this data while retaining the spatial indices of the channels.

I was using surf function over (XxY) matrix with a for loop over N to make a video;

But I want to visualise all the time series data across all channels i.e; the entire XxYxN matrix in a single image;

How can I do that?

Just for reference, the size of my matrix is 30X40X500

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Answer 1

Kevin Holly 2023-2-17

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https://ww2.mathworks.cn/matlabcentral/answers/1914460-visualisation-of-multichannel-time-series-data#answer_1174320

编辑：Kevin Holly 2023-2-17

在 MATLAB Online 中打开

Would something like this work?

time = 1:.1:50; % 500 data point

signal = cos(time);

for ii = 1:30

for jj = 1:40

plot3(ii*ones(size(signal)),1:length(signal),jj+signal)

hold on

end

If you have on large matrix (30x40x500) called m, you may code it as such:

for ii = 1:size(m,1)%or ii = m(:,1,1)
    for jj = 1:size(m,2)%or jj = m(1,:,1)
        plot3(ii*ones(length(m)),1:length(m),jj+m(ii,jj,:))
        hold on
    end
end

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Kevin Holly 2023-2-22

在 MATLAB Online 中打开

Here is an example of using scatter3 and setting the color of the datapoints based on the signal's ampiltude.

time = 0.1:.1:50; % 500 data points

signal = cos(time);

% preallocate

m = zeros(30,40,500);

% create m

for ii = 1:size(m,1)

for jj = 1:size(m,2)

m(ii,jj,:) = signal;

end

m_coord = [];

c_data = [];

for ii = 1:size(m,1)

for jj = 1:size(m,2)

m_coord = [m_coord [ii*ones(1,length(m));1:length(m);squeeze(jj+m(ii,jj,:))']];

c_data = [c_data squeeze(m(ii,jj,:))'];

end

m_coord = m_coord';

c_data = c_data';

figure

scatter3(m_coord(:,1),m_coord(:,2),m_coord(:,3),'.','CData',c_data)

Now, let's use slice to display a stack images of the matrix m and make the slices transparent by changing the FaceAlpha value.

figure

s = slice(m,[],[],1:size(m,3));

for ii = 1:size(m,3)

s(ii).EdgeColor = 'none';

s(ii).FaceAlpha = 0.25;

end

figure

s = slice(m,[],1:size(m,2),[]);

for ii = 1:size(m,2)

s(ii).EdgeColor = 'none';

s(ii).FaceAlpha = 0.25;

end

figure

s = slice(m,1:size(m,1),[],[]);

for ii = 1:size(m,1)

s(ii).EdgeColor = 'none';

s(ii).FaceAlpha = 0.25;

end

deboleena sadhukhan 2023-2-23

Thanks a lot, this works fine;

But I think in my case, for detecting the spatial and temporal location of events, this kind of display is not efficient;

Making an animation will be useful;

Thanks alot for all your help;

deboleena sadhukhan 2023-2-24

Also can you please suggest how can I employ "isosurface" to visualise my matrix?

My matrix is having values in the [-0.1 - +0.1].

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Visualisation of multichannel time series data

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