Does anyone have Matlab scripts for EMG analysis to share?

Dear Nelo Eidy Zanchi

Here's an example MATLAB script that includes the basic routines for EMG analysis that you mentioned: extraction to a text file, filtering, converting to RMS, performing a Fast Fourier Transform (FFT), and calculating the mean frequency of spectral power.

##Code Starts

% Load EMG data (replace with your own data loading code)

emgData = load('emg_data.mat'); % Assuming the EMG data is stored in a variable called 'emgData'

% Extraction to txt

dlmwrite('emg_data.txt', emgData, 'delimiter', '\t'); % Save EMG data to a text file with tab delimiter

% Filtering

samplingRate = 1000; % Replace with the actual sampling rate of your EMG data

cutoffFreq = 20; % Replace with the desired cutoff frequency for filtering

[b, a] = butter(4, cutoffFreq/(samplingRate/2), 'high'); % High-pass Butterworth filter coefficients

filteredData = filtfilt(b, a, emgData);

% Converting to RMS

rmsData = rms(filteredData);

% Fast Fourier Transform (FFT)

fftData = fft(filteredData);

n = length(filteredData);

frequencies = (0:n-1)*(samplingRate/n);

amplitudeSpectrum = abs(fftData/n);

powerSpectrum = amplitudeSpectrum.^2;

% Mean frequency of spectral power

totalPower = sum(powerSpectrum);

cumulativeSum = cumsum(powerSpectrum);

normalizedCumulativeSum = cumulativeSum / totalPower;

threshold = 0.5; % Change the threshold as desired (e.g., 0.5 for 50% threshold)

meanFrequencyIndex = find(normalizedCumulativeSum >= threshold, 1);

meanFrequency = frequencies(meanFrequencyIndex);

% Display or further process the results as needed

disp(['Mean Frequency of Spectral Power: ', num2str(meanFrequency), ' Hz']);

###Code End

Make sure to replace 'emg_data.mat' with the path or filename of your actual EMG data file. Adjust the parameters, such as the sampling rate and cutoff frequency, to suit your specific requirements.

Note that this is a basic script, and you may need to modify or expand it based on your specific needs and the characteristics of your EMG data.

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