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Lab EMG - Electromyogram I have result from the lab attached labeled Jennah Introduction Today, we will use the Biopac amplifiers at each station to collect electromyography data, which we will then explore and analyze using Matlab. In this lab, you will investigate the EMG from two muscles resulting from isometric muscle contractions. Matlab code for collecting EMG data (BioPacEMG.m) is posted on Canvas. Verify that your equipment is working correctly before attempting to collect any actual data. Task 1: Data Collection Procedure Before testing your setup, make sure that the power light turns on when you flip the power switch on your amplifier. Dr. Adamovich will explain the proper amplifier settings at the beginning of class. After ensuring the proper locations for electrode placement on the subject’s biceps and triceps are clean, place the electrodes as instructed in class. Ensure the electrodes are securely attached to the subject’s skin with medical tape, as any shifting can degrade the data. Have the subject flex their arm several times to ensure the electrodes stay in place. In addition to measuring EMG muscle activity, we will measure the force the muscle generates using a Biopac dynamometer. Once the electrodes are correctly placed, connect the wires to the trifurcated grey cable that connects the Biopac amplifier to your group’s station. The wires connecting to the electrodes on the subject’s biceps should be inserted into the positions labeled G1 & G2, while the wire for the reference electrode should be plugged into the position marked COM. Once the electrode wires and grey cable are correctly plugged in, ensure they do not move too much during data collection, as any movement will introduce artifacts and may degrade the data quality. Repeat this process for the electrodes on the subject’s triceps. Run the Matlab code titled “BioPacEMG” that you got from Canvas, which will ask for the number of channels you are acquiring and the duration to collect data. Have the subject flex their biceps or triceps, and ensure you get a clean signal. Once you are satisfied with the quality of your EMG signal and ready to collect data, run the same Matlab code for the experiments. After collection, as always, check and then rename the files where you save your data for quality assurance and to prevent accidental overwriting. Experiment A The amplifier can prefilter the acquired data. Several preset filters can be selected from the file [login to view URL] posted to Canvas. These channel presets can be specified in the “BioPacEMG.m” script on line 26. Collect 3 trials: 2 Collect one trial using channel preset a104 for the two EMG channels and another trial with preset a113. No prefiltering should be used for the force channel in both trials. In addition, a trial should be collected without any prefiltering on all three channels. No prefiltering should be used for the force channel in all three trials. Have the subject sit with their forearm resting on the top of their thigh under the table, fully supinated (palm up), pushing against the dynamometer on the underside of the table. The arm muscles should be relaxed. Start data collection and have the subject push up on the table for 0.5 seconds 20 times, while completely relaxing for 1-2 seconds between pushes. Experiment B Using channel preset 113, have the subject sit with their chair raised and grab the edge of the table with the arm fully supinated. Start data collection, and have the subjects push their hand up for half a second, then push it down for half a second with moderate force, 10 times. Experiment C Using channel preset 111, have the subject sit with their chair raised and grab the edge of the table. Start data collection, and have the subjects push their hand up for half a second, then push it down for half a second with maximal force, repeating this several (10) times. If you see saturation in the force signal, reduce the force slightly and collect again. Task 2: Data Analysis (start this in class) Data Analysis for Experiment A: • Using signalAnalyzer, which will be explained in class, plot the power spectrum of the three datasets (no presets, presets a104 and a113) from Experiment A on the same graph and investigate the differences between the datasets. • Filter the trial collected without the presets using functions butter and filtfilt with a high pass filter at 30 Hz, and a low pass filter at 250 Hz, and compare the power spectra of the outcome with the original a113 data using signalAnalyzer. • Rectify the filtered data (take the absolute value of the signal) for each of the 3 trials. • Make an envelope (by low-pass filtering the rectified data; see an example posted on Canvas) for each of the 3 trials. • Plot the EMG envelope on top of a plot of the rectified EMG data for 3 representative muscle contractions. • Plot the force versus time and filter it if needed. • Plot the EMG envelope on top of the filtered force versus time for 3 representative muscle contractions. Multiply the EMG by a constant if necessary. • Describe the differences in the data from the three preset conditions and explain what you have found and why. Data Analysis for Experiments B & C: • Preprocess the data using the filtering steps from the Experiment A analysis. • For each experiment, compare the onset(s) of activation for the biceps and triceps data using the calculated envelopes. Compare the data from both muscles and explain what you have found and why. 3 • For each muscle dataset, compare the moderate and maximum force conditions. Compare the EMG plots from both conditions and explain what you have found and why. • BONUS: Plot envelopes of the EMG bursts synchronized in time (using onsets for each EMG burst), separately for the biceps and the triceps. Use a figure with two subplots. *If you run the wrong script or stop the script before the duration is over, you will lose connection with the amplifier. DO NOT RUN “clear all”. You need to run lines 61 and 62 (see below) of the “BPE” script to unload the library: calllib(libname, 'disconnectMPDev'); % disconnect device unloadlibrary(libname) % unload library Then, you can rerun the script. Lab Report: Your lab report must be submitted to Canvas as a single Word document. Formatting: Make sure to include: • Date • Names of the people in your group • A presentable format • Clearly labeled and explained plots • Clear wording • An explanation of the procedure of the lab • The information requested for each task • A conclusion explaining what you found and why • Any difficulties that you had with the lab Each person in the group must upload their own copy of the lab to Canvas at the end of the class next Tuesday.
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I have well experienced in doing such kind of jobs. I will do my level best. .......... ......................................
$50 USD em 3 dias
6,2
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Hello, I can assist with your MATLAB EMG lab by analyzing biceps and triceps signals collected with BioPac amplifiers. I will preprocess the data using filtering (high-pass 30 Hz, low-pass 250 Hz), rectify signals, create envelopes, and generate power spectra for all presets and no-filter conditions. I will plot EMG vs. force, compare moderate and maximal contractions, and provide clear visualizations of activation onset for both muscles. The deliverables will include fully labeled plots, MATLAB scripts for filtering and analysis, and a structured Word report with methods, observations, and conclusions. All figures will be clearly explained, and differences between presets and force conditions will be interpreted in detail. Questions: Should the final report include comparisons for all trials or only representative samples? Are there specific formatting requirements for the MATLAB plots or Word document beyond what’s listed? Thanks, Asif
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As an experienced electrical engineer and seasoned data collector, I am well versed in using MATLAB and adept at handling the kind of complex electromyography data your lab encompasses. With over six years in the field, I have a proven track record of success in designing and optimizing electrical circuitry, which is just the skill set required for your project. I have particularly worked on Microcontrollers like Arduino, PIC MCU, ESP32 and ESP8266. This makes me proficient not just with MATLAB, but also in other areas relevant to your project such as display interfacing, IOT, and sensor and actuator interfacing. In addition to my technical prowess, I bring a strong sense of responsibility and keen attention to detail. These attributes are crucial when it comes to accurately following intricate instructions as required in your Task 1: Data Collection chapter. I have no doubt that my thoroughness combined with my technical capabilities would ensure clean signal acquisition as you mentioned is critical. Lastly, my passion in electrical engineering has always been about crafting innovative solutions like the one your lab seeks. Consequently, I will perform Task 2: Data Analysis with utmost dedication using MATLAB’s powerful processing abilities to offer relevant insights and recommendations. Social ethics as mentioned is observing proper file organization will be upheld throughout the process to prevent accidental overwriting and syncing perfectly
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Hello, Iam electrical engineer with phd. I master matlab scripting and simulink. I have done EEG, ECG, and EMG signal analysis and extracting features to use in diagnosing. I have completed many projects with excllent feedback and clients reviews. Regards, Dr. Yasser E
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I have developed a concrete understanding of diverse technicalities within the software aspects, including data collection and analysis to maximize efficiency. I believe this makes me incredibly well-suited to handling your MATLAB project that revolves around EMG signal processing. I believe in thriving within deadlines and high-quality delivery, keeping your satisfaction as my priority. My Matlab skills will be very useful to you for tasks such as pregessing acquired signals based on their frequency band(Ex: using a104 preset for channel 1 &2). I'll provide precise details about subjects' muscle contractions as per experiment A, B, and C. My extensive data analysis experience coupled with tailored-applications of MatLab will present clean final reports which will be promptly available for your assessment. Let us work together to elevate this project beyond expectations!
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Gemini said Greetings Dear Hiring Manager I have read the description of your project and I understand everything. I am an expert in biomedical signal processing and MATLAB with extensive experience in analyzing Biopac EMG and dynamometer data. I specialize in implementing Butterworth filters, signal rectification, and envelope extraction to quantify muscle activation onsets and force-EMG relationships, ensuring high-quality, presentable plots and professional technical reports. I am waiting on chat to discuss more and I am willing to start it now. Best Regards, Zain Abbas
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Hello there, ✸✸✸Matlab and Mathematics Expert is Here✸✸✸ I’ve checked your project – “MATLAB EMG Signal Processing Lab” And read the description carefully. I did MPhil on Matlab and Mathematics. As a professional Matlab and Mathematics developer, I can create clean validated, ✔Matlab code and make a device-supported M. File. And I can ✔Utilize Matlab for any advanced Statistical Modeling. Also I can do ✔Matlab Simulation and Encryption as well. Here is some of my recent completed Matlab Project: ✔️ https://www.freelancer.com/projects/matlab-mathematica/Matlab-encryption-project/details ✔️ https://www.freelancer.com/projects/matlab/System-Simulation-Analysis/details ✔️ https://www.freelancer.com/projects/matlab-mathematica/looking-for-matlab-36818016/details ✔️ https://www.freelancer.com/projects/matlab/MATLAB-Power-System-Simulation-40160511/details Also you can visit my profile and check all the Reviews of my previous all Matlab Project to get the idea about my knowledge and skills. I’m ready to be hired or ready to be awarded as I can start this task Right Now. So, I’m waiting for your response in chat box. Best Regards! Eng. Bablu Mondol
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Hi Jennah, I went through your project carefully, and the core challenge is clear: your EMG data collection and analysis requires precise execution to yield valuable insights. This isn’t a surface-level task , it needs someone who understands MATLAB signal processing and can handle detailed data processing effortlessly. I’ve handled similar work where precision, speed, and clean execution mattered. My approach is straightforward: I will ensure the proper setup and verification of the Biopac devices, execute the MATLAB scripts efficiently, and perform thorough data analysis using filtering and plotting techniques. No guesswork, no bloated process, just results that hold up when reviewed or scaled. If this aligns, I can start immediately and deliver your complete lab report in two days. One quick question before I proceed: What specific data insights are you hoping to prioritize? Best regards, Muskan
$50 USD em 2 dias
2,0
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Hi, I have experience working with MATLAB signal processing and biomedical data analysis and I can help you analyze the EMG datasets from your Biopac experiments. I will process the signals, apply the required filters, generate the power spectrum, EMG envelopes, and comparison plots for all experiments. I will also prepare clear plots and explanations so your final lab report meets all requirements and is easy to understand.
$30 USD em 3 dias
1,9
1,9

As a versatile developer with a background in Electrical Engineering and extensive knowledge of MATLAB, I'd bring both technical expertise and domain knowledge to your EMG Signal Processing Lab. I have experience working with bioelectric signals like EMG and am well-versed in using MATLAB for data collection and analysis purposes. In fact, I can spot the potential bottlenecks in your given code (BioPacEMG.m) and offer meaningful improvements for more efficient data collection that will not affect the quality. Furthermore, my familiarity with Biopac amplifiers and dynamometers is an added advantage as I understand the delicate nature of manipulating this equipment during lab work. I take immense care not to compromise on data quality by ensuring proper setup, reliable electrode placement, and minimizing artifact introduction through wire movement—all crucial aspects for successful data collection and accurate analysis. In addition to technical skills, my passion for detail-oriented work will prove beneficial during 'Task 2: Data Analysis'. My proficiency in MATLAB provides me with an upper hand in analyzing EMG data for specific experiments like the three mentioned. Being adept at reading channel presets, I can study their impact on data quality while conducting a wide range of statistical analyses as required. Trusting me with your project would yield results that are both accurate and comprehensive.
$20 USD em 7 dias
0,0
0,0

Hi! I can help you process your Biopac EMG data and complete your lab report with professional results. I have experience in biomedical signal processing and I am highly proficient in MATLAB. What I offer for this project: Signal Processing: I will apply the required Butterworth filters (30-250 Hz) and calculate precise linear envelopes. Complete Analysis: I will handle all tasks for Experiments A, B, and C, including power spectrum plots and force vs. EMG comparisons. Ready-to-use Code: I’ll provide a clean, commented script and a simple guide so you can run it easily. Fast Delivery: I already reviewed the "Jennah" datasets and can have your plots and findings ready today. I am committed to helping you get an excellent grade with clear, well-labeled visualizations. Let me know if you have any questions! Best regards, Edgar Teyssier
$30 USD em 3 dias
0,0
0,0

ubject: Expert MATLAB Analysis for EMG Lab (Jennah Data) Hello, I can help you process the EMG data for Experiments A, B, and C as outlined in your lab manual. I am proficient in MATLAB and Biomedical Signal Processing. My plan for your data: Signal Processing: I will use butter and filtfilt for zero-phase bandpass filtering (30-250Hz) and create smooth envelopes through rectification and low-pass filtering. Power Spectrum Analysis: I'll provide clear signalAnalyzer plots comparing the a104, a113, and raw presets to explain the hardware filtering differences. Force Correlation: I will overlay the EMG envelopes with the dynamometer force data to visualize the electromechanical delay and recruitment levels. Professional Report: I'll deliver a Word document with all labeled figures, onset timing comparisons (Biceps vs. Triceps), and a technical explanation of the results. I can also include the Bonus task of synchronized EMG burst plotting. Ready to start immediately once the files are shared.
$10 USD em 3 dias
0,0
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I have done a similar project a week ago. I am sure you will give me more projects after this. I am interested to do this project too and ready to complete this within the timeline. Kindly check my profile to see all rating and reviews given by clients. Hoping to hear from you soon. Payment after completion.
$20 USD em 7 dias
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