I am looking to query a forum style page (this forum, actually), but cannot seem to the the queries working as desired.
My goal is to essentially get the most viewed questions about Simulink (as woud be done via this page: https://www.mathworks.com/matlabcentral/answers/?product_base_code%5B%5D=Simulink&sort=views+desc)
However, when I try this via webread, the page I get is just the base Answers page, and it isn’t giving me Simulink, nor the sorting.
I am using the following (where indexed will be looped for multiple pages):
url = ‘https://www.mathworks.com/matlabcentral/answers/’;
data = webread(url,’page’, index,’product_base_code%5B%5D’,’Simulink’,’sort’,’views+desc’);
Any advice/help would be greatly appreciated.
Thanks!I am looking to query a forum style page (this forum, actually), but cannot seem to the the queries working as desired.
My goal is to essentially get the most viewed questions about Simulink (as woud be done via this page: https://www.mathworks.com/matlabcentral/answers/?product_base_code%5B%5D=Simulink&sort=views+desc)
However, when I try this via webread, the page I get is just the base Answers page, and it isn’t giving me Simulink, nor the sorting.
I am using the following (where indexed will be looped for multiple pages):
url = ‘https://www.mathworks.com/matlabcentral/answers/’;
data = webread(url,’page’, index,’product_base_code%5B%5D’,’Simulink’,’sort’,’views+desc’);
Any advice/help would be greatly appreciated.
Thanks! I am looking to query a forum style page (this forum, actually), but cannot seem to the the queries working as desired.
My goal is to essentially get the most viewed questions about Simulink (as woud be done via this page: https://www.mathworks.com/matlabcentral/answers/?product_base_code%5B%5D=Simulink&sort=views+desc)
However, when I try this via webread, the page I get is just the base Answers page, and it isn’t giving me Simulink, nor the sorting.
I am using the following (where indexed will be looped for multiple pages):
url = ‘https://www.mathworks.com/matlabcentral/answers/’;
data = webread(url,’page’, index,’product_base_code%5B%5D’,’Simulink’,’sort’,’views+desc’);
Any advice/help would be greatly appreciated.
Thanks! webread MATLAB Answers — New Questions

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Hello,
How can I import and evaluate a fistree designed in the new addition of the FuzzyLogic Toolbox app?
It is saved as .mat file instead of .fis.
Readfis and load do not seem to work to import it to my script. I want to give inputs via evalfis, but it does not seem to work with the .mat file. It seems that it is not recognized as fistree.

Many thanks in advanceHello,
How can I import and evaluate a fistree designed in the new addition of the FuzzyLogic Toolbox app?
It is saved as .mat file instead of .fis.
Readfis and load do not seem to work to import it to my script. I want to give inputs via evalfis, but it does not seem to work with the .mat file. It seems that it is not recognized as fistree.

Many thanks in advance Hello,
How can I import and evaluate a fistree designed in the new addition of the FuzzyLogic Toolbox app?
It is saved as .mat file instead of .fis.
Readfis and load do not seem to work to import it to my script. I want to give inputs via evalfis, but it does not seem to work with the .mat file. It seems that it is not recognized as fistree.

Many thanks in advance fuzzy logic, fuzzy logic toolbox, fistree, evalfis, readfis MATLAB Answers — New Questions

​

I have two excel sheets, Data1 and Data2. I need to compare both the excel sheet and atlast I need to get excel sheet as an output for matched data and mismatched data using simulink model. Tell me how to read the excel sheet, compare it and and how to get the excel sheet as an output?I have two excel sheets, Data1 and Data2. I need to compare both the excel sheet and atlast I need to get excel sheet as an output for matched data and mismatched data using simulink model. Tell me how to read the excel sheet, compare it and and how to get the excel sheet as an output? I have two excel sheets, Data1 and Data2. I need to compare both the excel sheet and atlast I need to get excel sheet as an output for matched data and mismatched data using simulink model. Tell me how to read the excel sheet, compare it and and how to get the excel sheet as an output? function model MATLAB Answers — New Questions

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Hi, I have a number of spectra that has been collected over a certain number of hours. How do I compute the difference spectra or ratio spectra over that time period? So say spectrum 1 is rationed with spectrum 2, spectrum 3 rationed with spectrum 2 etc. can same be done with difference spectrum as well? Any algorithm to do this? Thank you.Hi, I have a number of spectra that has been collected over a certain number of hours. How do I compute the difference spectra or ratio spectra over that time period? So say spectrum 1 is rationed with spectrum 2, spectrum 3 rationed with spectrum 2 etc. can same be done with difference spectrum as well? Any algorithm to do this? Thank you. Hi, I have a number of spectra that has been collected over a certain number of hours. How do I compute the difference spectra or ratio spectra over that time period? So say spectrum 1 is rationed with spectrum 2, spectrum 3 rationed with spectrum 2 etc. can same be done with difference spectrum as well? Any algorithm to do this? Thank you. matlab MATLAB Answers — New Questions

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Hi I have recorded an emg signal of 5 different muscles on someone performing manual wheelchair propulsion.
Sensor 1 = biceps
Sensor 2 = triceps
Sensor 3 = Anterioir Deltoid
Sensor 4 = Posterior Deltoid
Sensor 5 = Upper Trapezius
Each sensor also records the acceleration in the x, y and z directions.
I want to split the emg signal into seperate propulsion cycles (when the hand pushes and releases to when the hand hits the push rim again.) so that I can average each cycle, as well as convert time (s) to percentage of cycle.
I know there were 13-14 cycles during the recording as i videoed the subject while gathering data.
I have only looked at the bicep data as shown below and was wondeing if there is a way to do this with the information I have.

Please let me know if you need anymore information.

%% SEMG Signal Analysis – Row Test 1 Participant 1 28/06/2024
% *This is my practice code to figure out how to export the data into MATLAB and transfer the data into arrays that I can manipulate and do calculations with. *

clear all;
clc;
%% Importing raw data from csv. file
% *BOLD TEXT*

raw_data = readmatrix(‘P02_S09_T01.csv’);

%% SEMG Time Data
% *Storing the Sub-frame data in arrays*

fs = 1926; % sampling frequency in Hz

columnIndex = 2; % Specify the index of the column you want to extract (1 for the Frame column, 2 for the Sub Frame column, and so on)
Sub_Frame = []; % Creating an array to store all the sub-frames related to the EMG data

row = 4;
while ~isnan(raw_data(row, columnIndex))
number = raw_data(row, columnIndex);
Sub_Frame = [Sub_Frame, number];
row = row + 1;
end

Time = (1:length(Sub_Frame))/fs; % converting the sub frame array into time in seconds array

%% Acceleration Sensor 1 (bicep) ACCY1
%

% Find the maximum row number
maxRow = size(raw_data, 1);
acc_fs = 148; %sa/sec

%find sub frame for acceleration
columnIndex = 2; % Specify the index of the column you want to extract (1 for the Frame column, 2 for the Sub Frame column, and so on)
Acc_Sub_Frame = []; % Creating an array to store all the sub-frames related to the EMG data

acc_row = 77955;
while acc_row <= maxRow
number = raw_data(acc_row, columnIndex);
Acc_Sub_Frame = [Acc_Sub_Frame, number];
acc_row = acc_row + 1;
end

Acc_Time = (1:length(Acc_Sub_Frame))/acc_fs; % converting the sub frame array into time in seconds array

columnIndex4 = 4; % Corresponds to ACCY1 (acceleration in the y-direction of sensor 1).
ACCY1 = []; % Creating an array to store all the AccY1

row2 = 77955;

while row2 <= maxRow
num = raw_data(row2, columnIndex4);
ACCY1 = [ACCY1, num];
row2 = row2 + 1;
end

acc_rms_signal = [];
window = 50;

acc_rms_signal = sqrt(movmean((ACCY1.^2),window));

%% Muscle arrays
% Sensor #1 – Biceps Brachii
% Sensor #2 – Triceps Brachii
% Sensor #3 – Anterioir Deltoid
% Sensor #4 – Posterior Deltoid
% Sensor #5 – Upper Trapezius

% *Storing the muscle data in arrays*

columnIndex = 3; % Specify the index of the column you want to extract (1 for the Frame column, 2 for the Sub Frame column, and so on)
Biceps_Brachii = [];% Creating an array to store all the frames related to the EMG data
row = 4; % This is the starting position of the Frame data

% Create a for loop to run through every sensor and store in each array.
while ~isnan(raw_data(row, columnIndex))
number = raw_data(row, columnIndex);
Biceps_Brachii = [Biceps_Brachii, number];
row = row + 1;
end

%% BP filter
% filtering from 20 to Hz

fnyq = fs/2;
fcuthigh = 20;
fcutlow = 450;

%4th order Butterworth BP filter

[b,a]=butter(4,[fcuthigh,fcutlow]/fnyq,’bandpass’);

butterworth_filter_signal=filtfilt(b,a,Biceps_Brachii);

%% RMS
%
rms_signal = [];
window = 50;

rms_signal = sqrt(movmean((rec_signal.^2),window));

% Create a figure with two subplots
figure;

% Plot the first graph on the top
subplot(2, 1, 1);
plot(Time, rms_signal);
title(‘EMG’);

% Plot the second graph on the bottom
subplot(2, 1, 2);
plot(Acc_Time, acc_rms_signal);
title(‘Acceleration’);Hi I have recorded an emg signal of 5 different muscles on someone performing manual wheelchair propulsion.
Sensor 1 = biceps
Sensor 2 = triceps
Sensor 3 = Anterioir Deltoid
Sensor 4 = Posterior Deltoid
Sensor 5 = Upper Trapezius
Each sensor also records the acceleration in the x, y and z directions.
I want to split the emg signal into seperate propulsion cycles (when the hand pushes and releases to when the hand hits the push rim again.) so that I can average each cycle, as well as convert time (s) to percentage of cycle.
I know there were 13-14 cycles during the recording as i videoed the subject while gathering data.
I have only looked at the bicep data as shown below and was wondeing if there is a way to do this with the information I have.

Please let me know if you need anymore information.

%% SEMG Signal Analysis – Row Test 1 Participant 1 28/06/2024
% *This is my practice code to figure out how to export the data into MATLAB and transfer the data into arrays that I can manipulate and do calculations with. *

clear all;
clc;
%% Importing raw data from csv. file
% *BOLD TEXT*

raw_data = readmatrix(‘P02_S09_T01.csv’);

%% SEMG Time Data
% *Storing the Sub-frame data in arrays*

fs = 1926; % sampling frequency in Hz

columnIndex = 2; % Specify the index of the column you want to extract (1 for the Frame column, 2 for the Sub Frame column, and so on)
Sub_Frame = []; % Creating an array to store all the sub-frames related to the EMG data

row = 4;
while ~isnan(raw_data(row, columnIndex))
number = raw_data(row, columnIndex);
Sub_Frame = [Sub_Frame, number];
row = row + 1;
end

Time = (1:length(Sub_Frame))/fs; % converting the sub frame array into time in seconds array

%% Acceleration Sensor 1 (bicep) ACCY1
%

% Find the maximum row number
maxRow = size(raw_data, 1);
acc_fs = 148; %sa/sec

%find sub frame for acceleration
columnIndex = 2; % Specify the index of the column you want to extract (1 for the Frame column, 2 for the Sub Frame column, and so on)
Acc_Sub_Frame = []; % Creating an array to store all the sub-frames related to the EMG data

acc_row = 77955;
while acc_row <= maxRow
number = raw_data(acc_row, columnIndex);
Acc_Sub_Frame = [Acc_Sub_Frame, number];
acc_row = acc_row + 1;
end

Acc_Time = (1:length(Acc_Sub_Frame))/acc_fs; % converting the sub frame array into time in seconds array

columnIndex4 = 4; % Corresponds to ACCY1 (acceleration in the y-direction of sensor 1).
ACCY1 = []; % Creating an array to store all the AccY1

row2 = 77955;

while row2 <= maxRow
num = raw_data(row2, columnIndex4);
ACCY1 = [ACCY1, num];
row2 = row2 + 1;
end

acc_rms_signal = [];
window = 50;

acc_rms_signal = sqrt(movmean((ACCY1.^2),window));

%% Muscle arrays
% Sensor #1 – Biceps Brachii
% Sensor #2 – Triceps Brachii
% Sensor #3 – Anterioir Deltoid
% Sensor #4 – Posterior Deltoid
% Sensor #5 – Upper Trapezius

% *Storing the muscle data in arrays*

columnIndex = 3; % Specify the index of the column you want to extract (1 for the Frame column, 2 for the Sub Frame column, and so on)
Biceps_Brachii = [];% Creating an array to store all the frames related to the EMG data
row = 4; % This is the starting position of the Frame data

% Create a for loop to run through every sensor and store in each array.
while ~isnan(raw_data(row, columnIndex))
number = raw_data(row, columnIndex);
Biceps_Brachii = [Biceps_Brachii, number];
row = row + 1;
end

%% BP filter
% filtering from 20 to Hz

fnyq = fs/2;
fcuthigh = 20;
fcutlow = 450;

%4th order Butterworth BP filter

[b,a]=butter(4,[fcuthigh,fcutlow]/fnyq,’bandpass’);

butterworth_filter_signal=filtfilt(b,a,Biceps_Brachii);

%% RMS
%
rms_signal = [];
window = 50;

rms_signal = sqrt(movmean((rec_signal.^2),window));

% Create a figure with two subplots
figure;

% Plot the first graph on the top
subplot(2, 1, 1);
plot(Time, rms_signal);
title(‘EMG’);

% Plot the second graph on the bottom
subplot(2, 1, 2);
plot(Acc_Time, acc_rms_signal);
title(‘Acceleration’); Hi I have recorded an emg signal of 5 different muscles on someone performing manual wheelchair propulsion.
Sensor 1 = biceps
Sensor 2 = triceps
Sensor 3 = Anterioir Deltoid
Sensor 4 = Posterior Deltoid
Sensor 5 = Upper Trapezius
Each sensor also records the acceleration in the x, y and z directions.
I want to split the emg signal into seperate propulsion cycles (when the hand pushes and releases to when the hand hits the push rim again.) so that I can average each cycle, as well as convert time (s) to percentage of cycle.
I know there were 13-14 cycles during the recording as i videoed the subject while gathering data.
I have only looked at the bicep data as shown below and was wondeing if there is a way to do this with the information I have.

Please let me know if you need anymore information.

%% SEMG Signal Analysis – Row Test 1 Participant 1 28/06/2024
% *This is my practice code to figure out how to export the data into MATLAB and transfer the data into arrays that I can manipulate and do calculations with. *

clear all;
clc;
%% Importing raw data from csv. file
% *BOLD TEXT*

raw_data = readmatrix(‘P02_S09_T01.csv’);

%% SEMG Time Data
% *Storing the Sub-frame data in arrays*

fs = 1926; % sampling frequency in Hz

columnIndex = 2; % Specify the index of the column you want to extract (1 for the Frame column, 2 for the Sub Frame column, and so on)
Sub_Frame = []; % Creating an array to store all the sub-frames related to the EMG data

row = 4;
while ~isnan(raw_data(row, columnIndex))
number = raw_data(row, columnIndex);
Sub_Frame = [Sub_Frame, number];
row = row + 1;
end

Time = (1:length(Sub_Frame))/fs; % converting the sub frame array into time in seconds array

%% Acceleration Sensor 1 (bicep) ACCY1
%

% Find the maximum row number
maxRow = size(raw_data, 1);
acc_fs = 148; %sa/sec

%find sub frame for acceleration
columnIndex = 2; % Specify the index of the column you want to extract (1 for the Frame column, 2 for the Sub Frame column, and so on)
Acc_Sub_Frame = []; % Creating an array to store all the sub-frames related to the EMG data

acc_row = 77955;
while acc_row <= maxRow
number = raw_data(acc_row, columnIndex);
Acc_Sub_Frame = [Acc_Sub_Frame, number];
acc_row = acc_row + 1;
end

Acc_Time = (1:length(Acc_Sub_Frame))/acc_fs; % converting the sub frame array into time in seconds array

columnIndex4 = 4; % Corresponds to ACCY1 (acceleration in the y-direction of sensor 1).
ACCY1 = []; % Creating an array to store all the AccY1

row2 = 77955;

while row2 <= maxRow
num = raw_data(row2, columnIndex4);
ACCY1 = [ACCY1, num];
row2 = row2 + 1;
end

acc_rms_signal = [];
window = 50;

acc_rms_signal = sqrt(movmean((ACCY1.^2),window));

%% Muscle arrays
% Sensor #1 – Biceps Brachii
% Sensor #2 – Triceps Brachii
% Sensor #3 – Anterioir Deltoid
% Sensor #4 – Posterior Deltoid
% Sensor #5 – Upper Trapezius

% *Storing the muscle data in arrays*

columnIndex = 3; % Specify the index of the column you want to extract (1 for the Frame column, 2 for the Sub Frame column, and so on)
Biceps_Brachii = [];% Creating an array to store all the frames related to the EMG data
row = 4; % This is the starting position of the Frame data

% Create a for loop to run through every sensor and store in each array.
while ~isnan(raw_data(row, columnIndex))
number = raw_data(row, columnIndex);
Biceps_Brachii = [Biceps_Brachii, number];
row = row + 1;
end

%% BP filter
% filtering from 20 to Hz

fnyq = fs/2;
fcuthigh = 20;
fcutlow = 450;

%4th order Butterworth BP filter

[b,a]=butter(4,[fcuthigh,fcutlow]/fnyq,’bandpass’);

butterworth_filter_signal=filtfilt(b,a,Biceps_Brachii);

%% RMS
%
rms_signal = [];
window = 50;

rms_signal = sqrt(movmean((rec_signal.^2),window));

% Create a figure with two subplots
figure;

% Plot the first graph on the top
subplot(2, 1, 1);
plot(Time, rms_signal);
title(‘EMG’);

% Plot the second graph on the bottom
subplot(2, 1, 2);
plot(Acc_Time, acc_rms_signal);
title(‘Acceleration’); emg, cycle, signal processing MATLAB Answers — New Questions

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