write matlab code that will extract the peak-to-peak amplitude of the m-wave and h-reflex waveforms at each stimulation step. in matlab

Assuming that you have acquired the m-wave and h-reflex waveforms using an EMG acquisition system and have imported them into Matlab.

  1. First, find the maximum and minimum values of the M-wave and H-reflex waveform using the max and min functions:
main.m
% Assuming that the M-wave and H-reflex waveforms are stored in variables m_waveform and h_reflex_waveform respectively
max_m_wave = max(m_waveform);
min_m_wave = min(m_waveform);
max_h_reflex = max(h_reflex_waveform);
min_h_reflex = min(h_reflex_waveform);
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  1. Next, calculate the peak-to-peak amplitude using the following formula:
main.m
% Assuming that the peak-to-peak amplitude of the M-wave and H-reflex are stored in variables p2p_m_wave and p2p_h_reflex respectively
p2p_m_wave = abs(max_m_wave - min_m_wave);
p2p_h_reflex = abs(max_h_reflex - min_h_reflex);
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  1. Repeat the above steps for each stimulation step to obtain the peak-to-peak amplitude of the M-wave and H-reflex waveforms at each step.
main.m
% Assuming that the M-wave and H-reflex waveforms are stored in matrices m_waveforms and h_reflex_waveforms respectively, where each row corresponds to a stimulation step
num_steps = size(m_waveforms, 1);
p2p_m_waves = zeros(1, num_steps);
p2p_h_reflexes = zeros(1, num_steps);

for i=1:num_steps
    max_m_wave = max(m_waveforms(i, :));
    min_m_wave = min(m_waveforms(i, :));
    max_h_reflex = max(h_reflex_waveforms(i, :));
    min_h_reflex = min(h_reflex_waveforms(i, :));
    p2p_m_waves(i) = abs(max_m_wave - min_m_wave);
    p2p_h_reflexes(i) = abs(max_h_reflex - min_h_reflex);
end
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Note: The above code assumes that the M-wave and H-reflex waveforms are already time-aligned and baseline-corrected. If not, additional pre-processing steps would be required before the above code can be used.

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