Hi Manu,
I understand that you want to segment the periods of a wrist pulse signal, which involves identifying distinct cycles or beats within the signal.
I assume you have a time-series data of the wrist pulse signal and that the signal exhibits periodic characteristics, such as peaks corresponding to heartbeats.
In order to perform period segmentation of the wrist pulse signal, you can follow the below steps:
Load and Preprocess the Signal:
Load your wrist pulse signal into MATLAB and apply any necessary preprocessing, such as filtering to remove noise.
load('wrist_pulse_signal.mat'); % Assuming the signal is in a .mat file
filteredSignal = lowpass(wristPulseSignal, 5, samplingRate); % Example low-pass filter
Detect Peaks:
Use the “findpeaks” function to identify the peaks in the signal, which typically represent the pulse beats.
[peaks, locations] = findpeaks(filteredSignal, 'MinPeakHeight', threshold);
Segment the Periods:
Compute the intervals between consecutive peaks to segment the periods of the pulse signal.
periods = diff(locations); % Calculate the time between peaks
Visualize the Results:
Plot the signal and highlight the detected peaks and periods for verification.
plot(filteredSignal);
hold on;
plot(locations, peaks, 'ro'); % Mark peaks with red circles
Example Analysis:
Use the computed periods to analyze the variability or consistency of the pulse signal.
meanPeriod = mean(periods);
disp(['Average period: ', num2str(meanPeriod)]);
Refer to the documentation of “findpeaks” function to know more about its usage:
Hope this helps!
