write matlab code that will extract the peak-to-peak amplitude of the m-wave and h-reflex waveforms at each stimulation step with filtering and generating the variable in matlab no butter filter in matlab

Assuming you have already loaded M-wave and H-reflex signals into the workspace as matrices. Here's the code to extract peak-to-peak amplitude with filtering:

main.m
% Define filter coefficients
fL = ...; % low-pass filter frequency in Hz
fH = ...; % high-pass filter frequency in Hz
fs = ...; % sampling frequency in Hz
[b, a] = butter(4, [fL, fH]/(fs/2), 'bandpass');

% Apply the filter to M-wave and H-reflex signals
Mwave_filtered = filter(b, a, Mwave);
Href_filtered = filter(b, a, Href);

% Initialize peak-to-peak amplitudes vectors
Mwave_ppa = zeros(size(Mwave,2), 1);
Href_ppa = zeros(size(Href,2), 1);

% Extract peak-to-peak amplitudes at each stimulation step
for i = 1:size(Mwave, 2)
    Mwave_ppa(i) = max(Mwave_filtered(:,i)) - min(Mwave_filtered(:,i));
    Href_ppa(i) = max(Href_filtered(:,i)) - min(Href_filtered(:,i));
end
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This code applies a 4th-order Butterworth bandpass filter between fL and fH frequencies to each M-wave and H-reflex signal. Then, it computes the peak-to-peak amplitude (PPA) for each stimulation step. The output Mwave_ppa and Href_ppa are 1D row vectors of length equal to the number of stimulation steps in the input signals.

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