How to extract the time interval from areas of interest from a signal?

1 次查看（过去 30 天）
Alexandra
Alexandra 2015-11-8
评论： Image Analyst 2015-11-10
Hello! I have a blood pressure signal that looks like this:
https://scontent-frt3-1.xx.fbcdn.net/hphotos-xfp1/v/t35.0-12/12235753_1663006193941174_746177023_o.jpg?oh=b00b341f327554927e598e49b596f72e&oe=56414AC7
and I want to find the time interval for each descent part ( in my case 4 intervals). But I don't know how since it doesn't have any pattern. If anyone can, please help me. Thank you.
  1 个评论
Star Strider
Star Strider 2015-11-10
It actually has a pattern, but you do not have a time vector in your file. You might be able to recover the time vector if you know what the heart rate was.

请先登录，再进行评论。

请先登录，再回答此问题。

采纳的回答

Image Analyst
Image Analyst 2015-11-8
First you have to filter out the outliers. How are you doing that? Perhaps a median filter might work if they're not too close together. Then you can just invert the image and use findpeaks(). I can't do it because you didn't attach the actual data.
  5 个评论
显示 3更早的评论
Image Analyst
Image Analyst 2015-11-10
Try this. Let me know how it goes:
signal = xlsread('presiune.xlsx');
plot(signal, 'b-');
[values, indexes] = findpeaks(-signal, 'MinPeakProminence', 25);
grid on;
hold on;
stem(indexes, 50*ones(1, length(indexes)));

请先登录，再进行评论。

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Parametric Spectral Estimation 的更多信息

标签

产品

Community Treasure Hunt

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

Start Hunting!

Translated by