Category: Biomedical Engineering

  • Electromyogram (EMG) Analysis Using Biopac Amplifiers

    Code:

    PLZ complete this lab i have added all files and 2 sample labs i need you to write mine must be good at code on matlab and use my result with the name jennah on the files.

    %% EMG_OptitrackSync_Biopac_updated

    %Updated by Ashley MontJohnson on 3/29/2022

    %

    % Updated by Erick Nunez on 8/26/2025

    % – Updated library location

    % – Updated library version

    % – Updated mptype value to 104 for MP36A box

    % – Updated channelpresent.xml file location

    % – Tested with all 4 channels

    % – Tested with Duo camera (Sync output: Recording Gate, Inverted)

    %

    %This code sets up the biopac connection & settings. Then it will ask for a

    %time (in seconds) for how long you want the experiment to run. From there

    %it will count down and instruct you to hit record in Motive. Once you hit

    %record you will see the Figure 1 box pop up with the EMG recording in real

    %time. The EMG recording will end and you will be given an elapsed time

    %(should be very close to the time you entered). Then you will enter a

    %trial name. Then you will be instructed to go to motive and stop da10ta

    %collection. IT IS IMPORTANT TO NOTE THAT THE START TIME WILL BE THE SAME

    %BUT THE MOTIVE DATA WILL RUN LONGER – YOU MUST CUT THIS OUT IN POST

    %PROCESSING OF THE MOTIVE DATA. You know when data collection ended with

    %EMG in matlab from your time vector. Don’t forget to export Motive data

    %separately!

    clear all

    clc

    close all

    ver = computer;

    if strcmp(ver,’PCWIN64′)

    dll = ‘C:Program FilesBIOPAC Systems, IncBIOPAC Hardware API 2.2.5 EducationVC14x64mpdev.dll’;

    end

    dothdir = ‘C:Program FilesBIOPAC Systems, IncBIOPAC Hardware API 2.2.5 Educationmpdev.h’;

    mptype = 104; % MP36A

    mpmethod = 10; % USB

    sn = ‘auto’;

    libname = ‘mpdev’;

    %warning off MATLAB:loadlibrary:enumexists;

    loadlibrary(dll,dothdir);

    %% If not using phigets, keep this commented out

    % loadphidget21;

    % phid = libpointer(‘int32Ptr’);

    % calllib(‘phidget21’, ‘CPhidgetBridge_create’, phid);

    % calllib(‘phidget21’, ‘CPhidget_open’, phid, -1);

    % calllib(‘phidget21’, ‘CPhidget_waitForAttachment’, phid, 500);

    % calllib(‘phidget21’, ‘CPhidgetBridge_setEnabled’, phid, 0, 1); % Enables Phidget

    % calllib(‘phidget21’, ‘CPhidgetBridge_setEnabled’, phid, 3, 1); % Enables Phidget

    % sensorVal = libpointer(‘doublePtr’, 0);

    % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

    % gain = libpointer(‘CPhidgetBridge_Gain’,’PHIDGET_BRIDGE_GAIN_128′);

    % gain.Value = ‘PHIDGET_BRIDGE_GAIN_128’;

    % calllib(‘phidget21’, ‘CPhidgetBridge_setGain’,phid,0,gain.Value);

    % calllib(‘phidget21’, ‘CPhidgetBridge_setGain’,phid,3,gain.Value);

    % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

    % calllib(‘phidget21’, ‘CPhidgetBridge_getBridgeValue’,phid,0,sensorVal);

    % Bias1 = sensorVal.Value;

    %% Set up settings on Biopac

    sample_rate = 1000; % Sample Rate

    channel_mask = [1 1 1 0]; % Channel selection

    channels = {‘a111’ ‘a111’ ” ”}; % Channel presets

    retval = calllib(libname,’connectMPDev’,mptype,mpmethod,sn) % connect to device

    retval = calllib(libname, ‘setSampleRate’, double(1000/sample_rate)) % Set Sample Rate

    retval = calllib(libname, ‘setAcqChannels’, channel_mask) % Set Acquisition Channels

    retval = calllib(libname, ‘loadXMLPresetFile’, ‘C:Program FilesBIOPAC Systems, IncBIOPAC Hardware API 2.2.5 EducationPresetFileschannelpresets.xml’) % load preset file

    k = find(channel_mask==1);

    for i=1:length(k)

    assignin(‘base’,strcat(‘ch’,num2str(k(i)),’data’),[])

    retval = calllib(libname, ‘configChannelByPresetID’, k(i)-1, channels{k(i)}) % Configure the channels by preset ID

    end

    %% Data collection

    T = input(‘Enter Collection Time: ‘); % collect total of T secons of data

    t = 0.1; % collect t seconds of data per iteration

    numValuesToRead = t*sample_rate*sum(channel_mask); % data points per iteration

    remaining = T*sample_rate*sum(channel_mask); % remaining data points to acquire

    tbuff(1:numValuesToRead) = double(0); % initialize the correct amount of data

    numRead = 0;

    figure

    for q = 3:-1:1

    disp(q)

    pause(1)

    end

    count = 0;

    % trigger from Biopac

    retval = calllib(libname, ‘startMPAcqDaemon’) % Create virtual server

    retval = calllib(libname, ‘startAcquisition’) % Start acquisition

    %

    tic

    while remaining >0

    count = count+1;

    % Phidget Data

    % calllib(‘phidget21’, ‘CPhidgetBridge_getBridgeValue’,phid,0,sensorVal);

    % ForceTmp1 = sensorVal.Value;

    % ForceTmp1 = (ForceTmp1-Bias1).*10;

    % calllib(‘phidget21’, ‘CPhidgetBridge_getBridgeValue’,phid,3,sensorVal);

    % ForceTmp2 = sensorVal.Value;

    % ForceTmp2 = (ForceTmp2-Bias2).*10;

    % Force2 = [Force2;ForceTmp2];

    % Force(count) = ForceTmp1;

    [retval, tbuff, numRead] = calllib(libname, ‘receiveMPData’,tbuff, numValuesToRead, numRead); % get data

    pause(.05); clf; hold on

    remaining = remaining – numRead;

    % subplot(2,1,1)

    for i=1:sum(channel_mask)

    assignin(‘base’,strcat(‘ch’,num2str(k(i)),’data’),[eval(strcat(‘ch’,num2str(k(i)),’data’)) tbuff(i:sum(channel_mask):length(tbuff))]);

    plot(eval(strcat(‘ch’,num2str(k(i)),’data’)))

    end

    time(count) = toc;

    xlabel(‘Time’)

    ylabel(‘EMG’);

    % subplot(2,1,2)

    % plot(time,Force)

    % xlabel(‘Time’)

    % ylabel(‘Force’);

    hold off

    end

    toc

    %% end of data collection.

    fname = input(‘Enter a trial name: ‘,’s’);

    save(fname,’ch1data’,’ch2data’,’ch3data’,’time’)

    % calllib(‘phidget21’, ‘CPhidget_close’, phid);

    % calllib(‘phidget21’, ‘CPhidget_delete’, phid);

    retval = calllib(libname, ‘stopAcquisition’); % stop acquisition

    calllib(libname, ‘disconnectMPDev’); % disconnect device

    unloadlibrary(libname) % unload library

    Attached Files (PDF/DOCX): Lab_2_S26.docx, The_ABC_of_EMG.pdf, ChannelPresetID.docx, index.pdf, Copy of BME384 Lab 2.pdf

    Note: Content extraction from these files is restricted, please review them manually.

  • Comments

    Review all of the documents except your Team’s document. Something I haven’t mentioned yet: Record the time you spent reviewing each of the documents.

    Remember to provide two (soft preferred) copies of your comments for each of the 2 documents to the class (you don’t have to write comments on your own team’s document) and me. The comments are written on the document either in hand or via the TRACK CHANGES feature of WORD. Make sure you include the time you spend on reviewing each of the documents.

    Attached are the documents.

    Attached Files (PDF/DOCX): TestPlan_Team2_Draft_3.docx, Test Plan Team 12 – Maria Habib Karen Iskander Gehad Moustafa Mariam Zaki (2).docx

    Note: Content extraction from these files is restricted, please review them manually.

  • Electromyogram (EMG) Analysis Using Biopac Amplifiers

    Code:

    PLZ complete this lab i have added all files and 2 sample labs i need you to write mine must be good at code on matlab and use my result with the name jennah on the files.

    %% EMG_OptitrackSync_Biopac_updated

    %Updated by Ashley MontJohnson on 3/29/2022

    %

    % Updated by Erick Nunez on 8/26/2025

    % – Updated library location

    % – Updated library version

    % – Updated mptype value to 104 for MP36A box

    % – Updated channelpresent.xml file location

    % – Tested with all 4 channels

    % – Tested with Duo camera (Sync output: Recording Gate, Inverted)

    %

    %This code sets up the biopac connection & settings. Then it will ask for a

    %time (in seconds) for how long you want the experiment to run. From there

    %it will count down and instruct you to hit record in Motive. Once you hit

    %record you will see the Figure 1 box pop up with the EMG recording in real

    %time. The EMG recording will end and you will be given an elapsed time

    %(should be very close to the time you entered). Then you will enter a

    %trial name. Then you will be instructed to go to motive and stop da10ta

    %collection. IT IS IMPORTANT TO NOTE THAT THE START TIME WILL BE THE SAME

    %BUT THE MOTIVE DATA WILL RUN LONGER – YOU MUST CUT THIS OUT IN POST

    %PROCESSING OF THE MOTIVE DATA. You know when data collection ended with

    %EMG in matlab from your time vector. Don’t forget to export Motive data

    %separately!

    clear all

    clc

    close all

    ver = computer;

    if strcmp(ver,’PCWIN64′)

    dll = ‘C:Program FilesBIOPAC Systems, IncBIOPAC Hardware API 2.2.5 EducationVC14x64mpdev.dll’;

    end

    dothdir = ‘C:Program FilesBIOPAC Systems, IncBIOPAC Hardware API 2.2.5 Educationmpdev.h’;

    mptype = 104; % MP36A

    mpmethod = 10; % USB

    sn = ‘auto’;

    libname = ‘mpdev’;

    %warning off MATLAB:loadlibrary:enumexists;

    loadlibrary(dll,dothdir);

    %% If not using phigets, keep this commented out

    % loadphidget21;

    % phid = libpointer(‘int32Ptr’);

    % calllib(‘phidget21’, ‘CPhidgetBridge_create’, phid);

    % calllib(‘phidget21’, ‘CPhidget_open’, phid, -1);

    % calllib(‘phidget21’, ‘CPhidget_waitForAttachment’, phid, 500);

    % calllib(‘phidget21’, ‘CPhidgetBridge_setEnabled’, phid, 0, 1); % Enables Phidget

    % calllib(‘phidget21’, ‘CPhidgetBridge_setEnabled’, phid, 3, 1); % Enables Phidget

    % sensorVal = libpointer(‘doublePtr’, 0);

    % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

    % gain = libpointer(‘CPhidgetBridge_Gain’,’PHIDGET_BRIDGE_GAIN_128′);

    % gain.Value = ‘PHIDGET_BRIDGE_GAIN_128’;

    % calllib(‘phidget21’, ‘CPhidgetBridge_setGain’,phid,0,gain.Value);

    % calllib(‘phidget21’, ‘CPhidgetBridge_setGain’,phid,3,gain.Value);

    % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

    % calllib(‘phidget21’, ‘CPhidgetBridge_getBridgeValue’,phid,0,sensorVal);

    % Bias1 = sensorVal.Value;

    %% Set up settings on Biopac

    sample_rate = 1000; % Sample Rate

    channel_mask = [1 1 1 0]; % Channel selection

    channels = {‘a111’ ‘a111’ ” ”}; % Channel presets

    retval = calllib(libname,’connectMPDev’,mptype,mpmethod,sn) % connect to device

    retval = calllib(libname, ‘setSampleRate’, double(1000/sample_rate)) % Set Sample Rate

    retval = calllib(libname, ‘setAcqChannels’, channel_mask) % Set Acquisition Channels

    retval = calllib(libname, ‘loadXMLPresetFile’, ‘C:Program FilesBIOPAC Systems, IncBIOPAC Hardware API 2.2.5 EducationPresetFileschannelpresets.xml’) % load preset file

    k = find(channel_mask==1);

    for i=1:length(k)

    assignin(‘base’,strcat(‘ch’,num2str(k(i)),’data’),[])

    retval = calllib(libname, ‘configChannelByPresetID’, k(i)-1, channels{k(i)}) % Configure the channels by preset ID

    end

    %% Data collection

    T = input(‘Enter Collection Time: ‘); % collect total of T secons of data

    t = 0.1; % collect t seconds of data per iteration

    numValuesToRead = t*sample_rate*sum(channel_mask); % data points per iteration

    remaining = T*sample_rate*sum(channel_mask); % remaining data points to acquire

    tbuff(1:numValuesToRead) = double(0); % initialize the correct amount of data

    numRead = 0;

    figure

    for q = 3:-1:1

    disp(q)

    pause(1)

    end

    count = 0;

    % trigger from Biopac

    retval = calllib(libname, ‘startMPAcqDaemon’) % Create virtual server

    retval = calllib(libname, ‘startAcquisition’) % Start acquisition

    %

    tic

    while remaining >0

    count = count+1;

    % Phidget Data

    % calllib(‘phidget21’, ‘CPhidgetBridge_getBridgeValue’,phid,0,sensorVal);

    % ForceTmp1 = sensorVal.Value;

    % ForceTmp1 = (ForceTmp1-Bias1).*10;

    % calllib(‘phidget21’, ‘CPhidgetBridge_getBridgeValue’,phid,3,sensorVal);

    % ForceTmp2 = sensorVal.Value;

    % ForceTmp2 = (ForceTmp2-Bias2).*10;

    % Force2 = [Force2;ForceTmp2];

    % Force(count) = ForceTmp1;

    [retval, tbuff, numRead] = calllib(libname, ‘receiveMPData’,tbuff, numValuesToRead, numRead); % get data

    pause(.05); clf; hold on

    remaining = remaining – numRead;

    % subplot(2,1,1)

    for i=1:sum(channel_mask)

    assignin(‘base’,strcat(‘ch’,num2str(k(i)),’data’),[eval(strcat(‘ch’,num2str(k(i)),’data’)) tbuff(i:sum(channel_mask):length(tbuff))]);

    plot(eval(strcat(‘ch’,num2str(k(i)),’data’)))

    end

    time(count) = toc;

    xlabel(‘Time’)

    ylabel(‘EMG’);

    % subplot(2,1,2)

    % plot(time,Force)

    % xlabel(‘Time’)

    % ylabel(‘Force’);

    hold off

    end

    toc

    %% end of data collection.

    fname = input(‘Enter a trial name: ‘,’s’);

    save(fname,’ch1data’,’ch2data’,’ch3data’,’time’)

    % calllib(‘phidget21’, ‘CPhidget_close’, phid);

    % calllib(‘phidget21’, ‘CPhidget_delete’, phid);

    retval = calllib(libname, ‘stopAcquisition’); % stop acquisition

    calllib(libname, ‘disconnectMPDev’); % disconnect device

    unloadlibrary(libname) % unload library

    Attached Files (PDF/DOCX): Copy of BME384 Lab 2.pdf, index.pdf, The_ABC_of_EMG.pdf, Lab_2_S26.docx, ChannelPresetID.docx

    Note: Content extraction from these files is restricted, please review them manually.

  • Capstone Group 6

    Just do the 2 slides with Amanda next to them in the midterm outline doc you can just inform me on what to write no need to make new slides

    Attached Files (PDF/DOCX): BME 496 Midterm Outline (1).pdf, VERSION 5 – Team 6 Direct Drive_ Requirements Document (3).docx, BME 496 Midterm Outline (1).pdf, VERSION 3_ Team 6_Getinge Direct Drive_Test Plan (2).docx, Linear Actuator Profile.docx, Test Plan Outline (1).docx

    Note: Content extraction from these files is restricted, please review them manually.

  • Jump analysis using Physics Toolbox Sensor Suite or similar.

    Hi!I have this file and I would like you to generate data so that I can use them in this activity, preferably using the application mentioned. You do not need to worry about the codeI will use the code I already have, and you also do not need to write the introduction. I only need the CSV data so I can use them.

    I do not know how to use this application, so could you send me a tutorial explaining how you did it and which settings or calibrations were necessary, either in this app or in another one you used?

    Simulating the data with AI is not helpful in this case because I am already familiar with it and I can recognize when the results are far from realistic. I genuinely want to learn how to use this application so that I can perform other activities and simply replace the data with what I already have.

    Thank you. here the link of the file that i want do something similar

  • Lab Report 1

    I have entered the data and sample labs from other people you can reword them just make sure u imput mu data in the code

    Attached Files (PDF/DOCX): bme 384 lab 1 report (1).pdf, Lab1_S2026.docx, Copy of lab 1.pdf, Create and Label Markersets in Motive Software.docx, Lab1 Table.pdf

    Note: Content extraction from these files is restricted, please review them manually.

  • Research

    Make me a short research slides presentation on any research papers just follow the rules and show me the different ways to show the data and make short speaker notes. Do not over complicate it do not worry give the simple graphs and follow the rules.i only need to speak for 3 mins.

    Read these articles .

    2. Choose one figure from each paper and prepare one observation about the

    presented data (so two answers total).

    3. Describe the experimental groups and why they were chosen.

    4. Describe how the data was used to differentiate between experimental groups.

    5. Describe how statistics was used in the interpretation of the experimental

    question.

    6. Be prepared to present their arguments during class.

    I thought of this research topic on new ways to restore cardiac function in rat models.

    I plan to focus on two studies: one about inhibiting DPP3 to improve heart function in sepsis, and another about using VCAM1-expressing cardiac fibroblasts to improve heart function after a heart attack. I will compare their methods, results, and possible future applications.

  • Perekonomian negara

    Bagaimana caranya agar perekonomian negara untuk tetap stabil dalam kondisi apapun

    Requirements: