Processing EMG data in MATLAB?
Hi all,
I am VERY new to MATLAB, so please excuse my ignorance if this is a very novice problem. I am analysing EMG signals, I have imported from my data from xlsx as time (X) and voltage (y).
After extracting data;
set(0, ‘defaultFigureToolbar’, ‘none’)
% RAW_DATA_EXTRACTION
%% BACK_SQUAT
%%% VISIT_ONE
T1_10rm_BS_1 = xlsread(‘T1_70%_10rm_BS_1.xlsx’,’Sheet3′,’A5:E77494′);
time = T1_10rm_BS_1(:,1);
BS_RF_1 = T1_10rm_BS_1(:,4);
BS_BF_1 = T1_10rm_BS_1(:,5);
T1_10rm_BS_2 = xlsread(‘T1_70%_10rm_BS_2.xlsx’, ‘Sheet4′,’A5:E78394’);
time = T1_10rm_BS_2(:,1);
BS_RF_2 = T1_10rm_BS_2(:,4);
BS_BF_2 = T1_10rm_BS_2(:,5);
running filters;
%FILTER
% Lowpass filter 500Hz
Freq = 1500;
NyqFreq = Freq/2;
Lowpass = 500;
Wn = Lowpass/NyqFreq;
[B,A] = butter (4,Wn,’low’);
% run filter
BS_RF_1_low_filtered = filtfilt(B,A,BS_RF_1);
BS_BF_1_low_filtered = filtfilt(B,A,BS_BF_1);
BS_RF_2_low_filtered = filtfilt(B,A,BS_RF_2);
BS_BF_2_low_filtered = filtfilt(B,A,BS_BF_2);
% Highpass filter 10Hz
Highpass = 10;
Wo = Highpass/NyqFreq;
[D,C] = butter (4,Wo,’high’);
% run filter
high_pass_BS_RF_1_filtdata = filtfilt(D,C,BS_RF_1_low_filtered);
high_pass_BS_BF_1_filtdata = filtfilt(D,C,BS_BF_1_low_filtered);
high_pass_BS_RF_2_filtdata = filtfilt(D,C,BS_RF_2_low_filtered);
high_pass_BS_BF_2_filtdata = filtfilt(D,C,BS_BF_2_low_filtered);
% Full wave rectification of EMG
filtered_BS_RF_1 = abs(high_pass_BS_RF_1_filtdata);
filtered_BS_BF_1 = abs(high_pass_BS_BF_1_filtdata);
filtered_BS_RF_2 = abs(high_pass_BS_RF_2_filtdata);
filtered_BS_BF_2 = abs(high_pass_BS_BF_2_filtdata);
% Linear envelope (2Hz lowpass)
LP = 2;
Wp = LP/NyqFreq;
[F,E] = butter (4,Wp,’low’);
linear_BS_RF_1 = filtfilt(F,E,filtered_BS_RF_1);
linear_BS_BF_1 = filtfilt(F,E,filtered_BS_BF_1);
linear_BS_RF_2 = filtfilt(F,E,filtered_BS_RF_2);
linear_BS_BF_2 = filtfilt(F,E,filtered_BS_BF_2);
and generating my plot (for BS_RF_1);
I am now struggling to try and find the area under the curve for my set of 10 repetitions.
I am looking to define mean activation and peak activation.
All constructive help welcome,
Cheers.Hi all,
I am VERY new to MATLAB, so please excuse my ignorance if this is a very novice problem. I am analysing EMG signals, I have imported from my data from xlsx as time (X) and voltage (y).
After extracting data;
set(0, ‘defaultFigureToolbar’, ‘none’)
% RAW_DATA_EXTRACTION
%% BACK_SQUAT
%%% VISIT_ONE
T1_10rm_BS_1 = xlsread(‘T1_70%_10rm_BS_1.xlsx’,’Sheet3′,’A5:E77494′);
time = T1_10rm_BS_1(:,1);
BS_RF_1 = T1_10rm_BS_1(:,4);
BS_BF_1 = T1_10rm_BS_1(:,5);
T1_10rm_BS_2 = xlsread(‘T1_70%_10rm_BS_2.xlsx’, ‘Sheet4′,’A5:E78394’);
time = T1_10rm_BS_2(:,1);
BS_RF_2 = T1_10rm_BS_2(:,4);
BS_BF_2 = T1_10rm_BS_2(:,5);
running filters;
%FILTER
% Lowpass filter 500Hz
Freq = 1500;
NyqFreq = Freq/2;
Lowpass = 500;
Wn = Lowpass/NyqFreq;
[B,A] = butter (4,Wn,’low’);
% run filter
BS_RF_1_low_filtered = filtfilt(B,A,BS_RF_1);
BS_BF_1_low_filtered = filtfilt(B,A,BS_BF_1);
BS_RF_2_low_filtered = filtfilt(B,A,BS_RF_2);
BS_BF_2_low_filtered = filtfilt(B,A,BS_BF_2);
% Highpass filter 10Hz
Highpass = 10;
Wo = Highpass/NyqFreq;
[D,C] = butter (4,Wo,’high’);
% run filter
high_pass_BS_RF_1_filtdata = filtfilt(D,C,BS_RF_1_low_filtered);
high_pass_BS_BF_1_filtdata = filtfilt(D,C,BS_BF_1_low_filtered);
high_pass_BS_RF_2_filtdata = filtfilt(D,C,BS_RF_2_low_filtered);
high_pass_BS_BF_2_filtdata = filtfilt(D,C,BS_BF_2_low_filtered);
% Full wave rectification of EMG
filtered_BS_RF_1 = abs(high_pass_BS_RF_1_filtdata);
filtered_BS_BF_1 = abs(high_pass_BS_BF_1_filtdata);
filtered_BS_RF_2 = abs(high_pass_BS_RF_2_filtdata);
filtered_BS_BF_2 = abs(high_pass_BS_BF_2_filtdata);
% Linear envelope (2Hz lowpass)
LP = 2;
Wp = LP/NyqFreq;
[F,E] = butter (4,Wp,’low’);
linear_BS_RF_1 = filtfilt(F,E,filtered_BS_RF_1);
linear_BS_BF_1 = filtfilt(F,E,filtered_BS_BF_1);
linear_BS_RF_2 = filtfilt(F,E,filtered_BS_RF_2);
linear_BS_BF_2 = filtfilt(F,E,filtered_BS_BF_2);
and generating my plot (for BS_RF_1);
I am now struggling to try and find the area under the curve for my set of 10 repetitions.
I am looking to define mean activation and peak activation.
All constructive help welcome,
Cheers. Hi all,
I am VERY new to MATLAB, so please excuse my ignorance if this is a very novice problem. I am analysing EMG signals, I have imported from my data from xlsx as time (X) and voltage (y).
After extracting data;
set(0, ‘defaultFigureToolbar’, ‘none’)
% RAW_DATA_EXTRACTION
%% BACK_SQUAT
%%% VISIT_ONE
T1_10rm_BS_1 = xlsread(‘T1_70%_10rm_BS_1.xlsx’,’Sheet3′,’A5:E77494′);
time = T1_10rm_BS_1(:,1);
BS_RF_1 = T1_10rm_BS_1(:,4);
BS_BF_1 = T1_10rm_BS_1(:,5);
T1_10rm_BS_2 = xlsread(‘T1_70%_10rm_BS_2.xlsx’, ‘Sheet4′,’A5:E78394’);
time = T1_10rm_BS_2(:,1);
BS_RF_2 = T1_10rm_BS_2(:,4);
BS_BF_2 = T1_10rm_BS_2(:,5);
running filters;
%FILTER
% Lowpass filter 500Hz
Freq = 1500;
NyqFreq = Freq/2;
Lowpass = 500;
Wn = Lowpass/NyqFreq;
[B,A] = butter (4,Wn,’low’);
% run filter
BS_RF_1_low_filtered = filtfilt(B,A,BS_RF_1);
BS_BF_1_low_filtered = filtfilt(B,A,BS_BF_1);
BS_RF_2_low_filtered = filtfilt(B,A,BS_RF_2);
BS_BF_2_low_filtered = filtfilt(B,A,BS_BF_2);
% Highpass filter 10Hz
Highpass = 10;
Wo = Highpass/NyqFreq;
[D,C] = butter (4,Wo,’high’);
% run filter
high_pass_BS_RF_1_filtdata = filtfilt(D,C,BS_RF_1_low_filtered);
high_pass_BS_BF_1_filtdata = filtfilt(D,C,BS_BF_1_low_filtered);
high_pass_BS_RF_2_filtdata = filtfilt(D,C,BS_RF_2_low_filtered);
high_pass_BS_BF_2_filtdata = filtfilt(D,C,BS_BF_2_low_filtered);
% Full wave rectification of EMG
filtered_BS_RF_1 = abs(high_pass_BS_RF_1_filtdata);
filtered_BS_BF_1 = abs(high_pass_BS_BF_1_filtdata);
filtered_BS_RF_2 = abs(high_pass_BS_RF_2_filtdata);
filtered_BS_BF_2 = abs(high_pass_BS_BF_2_filtdata);
% Linear envelope (2Hz lowpass)
LP = 2;
Wp = LP/NyqFreq;
[F,E] = butter (4,Wp,’low’);
linear_BS_RF_1 = filtfilt(F,E,filtered_BS_RF_1);
linear_BS_BF_1 = filtfilt(F,E,filtered_BS_BF_1);
linear_BS_RF_2 = filtfilt(F,E,filtered_BS_RF_2);
linear_BS_BF_2 = filtfilt(F,E,filtered_BS_BF_2);
and generating my plot (for BS_RF_1);
I am now struggling to try and find the area under the curve for my set of 10 repetitions.
I am looking to define mean activation and peak activation.
All constructive help welcome,
Cheers. onset, offset, emg, novice MATLAB Answers — New Questions
