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function [emg_env, emg_filt] = signalProcess(emg_rawdata, fs, lowpass_coef, highpass_coef)
% signalProcess processes raw EMG signals by applying bandpass filtering,
% rectification, outlier removal, and RMS envelope extraction.
% INPUTS:
% emg_rawdata : Raw EMG signal data (nFrames × nEMGs)
% fs : EMG sampling frequency (e.g., 2000 Hz)
% lowpass_coef : Lower cutoff frequency for bandpass filter (Hz)
% highpass_coef : Upper cutoff frequency for bandpass filter (Hz)
% OUTPUTS:
% emg_env : Processed EMG envelope (RMS filtered signal)
% emg_filt : Bandpass-filtered and rectified EMG signal
%
% Author: Junyo Boo (2025)
% Data DOI: https://doi.org/10.6084/m9.figshare.27677016
%
% The following script is provided under the Creative Commons Attribution 4.0
% International License (CC-BY 4.0).
%
% You are free to share and adapt this material for any purpose, even commercially,
% provided you give appropriate credit, provide a link to the license, and indicate
% if changes were made. The full license text can be found at:
%
% https://creativecommons.org/licenses/by/4.0/
%
%---------------------------------------------------------------------------------------
[b, a] = butter(2,[lowpass_coef/(fs/2) highpass_coef/(fs/2)],'bandpass');
detrend_emg = detrend(emg_rawdata); %% zeroing
filtered_emg = filtfilt(b,a,detrend_emg); %% bandpass filter
rec_filtered_emg = abs(filtered_emg); %% absolute
outlier_removed_emg = hampel(rec_filtered_emg, 250, 3); %% outlier detection
movav_emg = sqrt(movmean(outlier_removed_emg.^2,250,1)); %% rms window
visible = false;
if visible
figure;
subplot(5,1,1);
plot(emg_rawdata);
subplot(5,1,2);
plot(detrend_emg);
subplot(5,1,3);
plot(filtered_emg);
subplot(5,1,4);
plot(rec_filtered_emg);
subplot(5,1,5);
plot(movav_emg);
end
emg_filt = outlier_removed_emg;
emg_env = movav_emg;
end