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Category: Biomedical Engineering

  • Biomedical Engineering Question

    Hi

    I need to solve this assignment please

  • Biomedical Engineering Question

    I want to solve the Assignment please

  • How it’s work

    Biological engineering (or Bioengineering) works by applying the principles of physics, mathematics, and traditional engineering to the complex structures of biology and medicine.

    Instead of building bridges or circuits, bioengineers “build” or “program” biological systems to solve problems. It works through several key approaches:

    Genetic Programming: Editing DNA sequences to make cells perform specific tasks, such as bacteria producing human insulin.

    Tissue Engineering: Using “scaffolds” and living cells to grow functional replacement organs or skin in a lab.

    Biomedical Devices: Designing mechanical interfaces like pacemakers, prosthetic limbs, or robotic surgical tools that interact directly with the human body.

    System Modeling: Using computer simulations to predict how a new drug will interact with thousands of proteins before it is ever tested on humans.

    Essentially, it treats living organisms as hardware and genetic code as software that can be analyzed, repaired, or improved.

  • Player ,pemadaman, perpustakaan

    Ini adalah materi kelas 8 awal semester 1/maupun 2

  • Biomechanics: Calculate the torques for the hip, knee, and…

    1. Draw a free body diagram for the foot, shank, thigh, and HAT (head, arms, torso) segments. You may ignore the mass and moment of inertia of the foot, as it is sometimes assumed that the mass of the foot is negligible when compared to the mass of the shank.
    1. Using your free body diagrams in part a, derive the equations necessary to solve for the torques about the hip, knee, and ankle joints during the stance phase of gait for this model. Again, for simplicity, you may ignore the mass of the foot.
    1. For the given data, use the equations you just derived to calculate the torques for the hip, knee, and ankle joints during the stance phase of gait. (Note: when solving the equations, remember that all angular velocities and accelerations need to be in radians). Plot your results and normalize them with respect to body mass (i.e., units are Nm/kg).

  • How are bioceramics used in bone grafting and bone regenerat…

    This question is asking how special materials called bioceramics are used to repair bones and help them grow again after injury or damage.

  • Have you ever ask yourself what is your dream?

    Yes, i ever ask that in myself what is my dream.

  • 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

  • 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

  • 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, ChannelPresetID.docx, index.pdf, Lab_2_S26.docx, The_ABC_of_EMG.pdf

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