Applications-of-Matlab-21MTY-235

Course Instructor - Prof. ANURAG SHARMA

CHANDIGARH UNIVERSITY

LAB REPORT RUBRICS & SAMPLE

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PROJECT ALLOCATED

Applications Of Electromyography 🚀

Team details 👍

TEAM-3

1) Ankit 20BEM1018 [email protected] ankitchawla071

2) Vansh Aggarwal 20BEM1030 [email protected] Vansh2302

3) Vineet Sharda 20BEM1016 [email protected] 01Vineet

4) Malavika S 20BEM1026 [email protected] malu12842

5) Yashik Kumar 20BEM1034 [email protected] Yashikkumar

Project Overview

Our project focuses on acquiring raw EMG signals from the targeted muscles and processing it to make it usable to control any device like a bionic arm or gesture based controller. Here we have used RGB led and the concept of colour mixing to display the amount of flexion of our muscle through various colours. We have used an EMG sensor by Advancer Technologies which uses surface electrodes to carry signals from targeted muscle to the sensor. It has 5 pins which includes +Vs, GND of Voltage source, -Vs, sig(signal) and common ground pin for sensor and Arduino Uno. The Signal pin can be connected to any analog pin of the Arduino Uno board. Also this board has an onboard filter circuit to give the processed data and a potentiometer for adjusting the gain.

Setup Requirements

For acquiring the EMG signal, we basically require five things which includes

1) Electrodes : these carry signals from muscles to the EMG sensor.

2) EMG sensor : It is a circuit consisting of an onboard amplifier and filters to process the raw EMG signal (0-10 mV) taken from muscles through electrodes and converts into a signal which any microcontroller like arduino can read. In our project we are using an EMG sensor from advancer technologies.

3) Microcontroller : To receive data from an EMG sensor and display it in a laptop or oscilloscope.

4) Laptop or oscilloscope : To display data received from the EMG sensor.

5) Software: Matlab R2021a for uploading code

6) Rgb Led : To display the intensity

Schematics

Matlab Code :

close all;
clc;
y=zeros(1,100000);
a = arduino('COM11','Uno'); %connect to the arduino
cm=1;
while cm<=100000
y = readVoltage(a, 'A0'); %read the analog signal from arduino

     if y >= 0.20 &&  y <= 0.49
     writeDigitalPin(a,'D11',0); %Red colour
     writeDigitalPin(a,'D12',1);
     writeDigitalPin(a,'D13',1);

     else if y >= 0.50 &&  y <= 0.79
     writeDigitalPin(a,'D11',1);
     writeDigitalPin(a,'D12',0); %Green colour
     writeDigitalPin(a,'D13',1);

     else if y >= 0.80 &&  y <= 1.19
     writeDigitalPin(a,'D11',1);
     writeDigitalPin(a,'D12',1); %Blue colour
     writeDigitalPin(a,'D13',0);

     else if y >= 1.2 &&  y <= 1.49
     writeDigitalPin(a,'D11',0); %White colour
     writeDigitalPin(a,'D12',0);
     writeDigitalPin(a,'D13',0);

     else if y >= 1.50 &&  y <= 2
     writeDigitalPin(a,'D11',0); %Purple colour 
     writeDigitalPin(a,'D12',1);
     writeDigitalPin(a,'D13',0);
     
      else
        writeDigitalPin(a,'D11',1); %Led off
        writeDigitalPin(a,'D12',1);
        writeDigitalPin(a,'D13',1);
      end
      end
      end
      end
end
cm=cm+1;
End

Video Demonstration :

Learning Outcomes:

After completion of this paper, we got to know about how a research paper is formulated and presented.

• From the research we did, we learned about EMG sensors, their applications, and their importance in human life.
• We got to know many areas of interest where we can work in the future, related to EMG.
• The scope of EMG is enormous. We learned how the bionic arms, prosthetic legs, mobility assistance robots, etc work.
• It was really an informative and interesting period of time making this paper.