How can I write a filter code for my PPG signal to clear all noises on MATLAB?

12 visualizaciones (últimos 30 días)
Hi, I have my graphic like this. Firstly, I need to find peaks,but my signal is so noisy. How can I make my signal pure without any noise and holding orginal signals? Thank you.
  1 comentario
Wayne King
Wayne King el 21 de Dic. de 2013
We need to know the sampling rate of your data before we can recommend a filter. What does that time axis represent?

Iniciar sesión para comentar.

Respuesta aceptada

Sunil Kumar Yadav
Sunil Kumar Yadav el 8 de Abr. de 2014
I am amazed that no one answered your question. You should use filter.I have used butterworth filter .matlab Command is butter.After making butterworth filter of desired order use filtfilt command to apply your filter to data which you want to process.Here is the example of bandpass filter W1=0.5/60;% lovver cutoff W2=4/60;%higher cutoff
[b,a]=butter(2,[W1,W2]); % Bandpass digital filter design h = fvtool(b,a); % Visualize filter
low_pass_data1 = filtfilt(b,a,intensity_r); % applying filter to our data intensity_r
  2 comentarios
Sunil Kumar Yadav
Sunil Kumar Yadav el 16 de Abr. de 2014
hey the cutoff frequencies should be w.r.t. half the sampling frequency.If Fs is sampling frequenvy then W1=(Low_Cuttoff)/(Fs/2);% lower cutoff frequency W2=(High_Cuttoff)/(Fs/2);% Higher cutoff frequency .Use [pks,locs] = findpeaks(data) ; to locate the peaks.
Richeek Dey
Richeek Dey el 16 de Feb. de 2017
What is the value of low_cutoff and high_cutoff in the above solution? I'm also working on PPG and would appreciate it!

Iniciar sesión para comentar.

Más respuestas (0)

Categorías

Más información sobre Measurements and Feature Extraction en Help Center y File Exchange.

Community Treasure Hunt

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

Start Hunting!

Translated by