EMG Acquisition System
Biosignals are electrical signals produced by an organ that represent physical activity in humans. These biosignals are being exploited in a variety of biomedical applications due to recent advances in the domains of microelectronics and engineering. EMG stands for Electromyography that is electromy
2025-06-28 16:26:59 - Adil Khan
EMG Acquisition System
Project Area of Specialization Biomedical EngineeringProject SummaryBiosignals are electrical signals produced by an organ that represent physical activity in humans. These biosignals are being exploited in a variety of biomedical applications due to recent advances in the domains of microelectronics and engineering. EMG stands for Electromyography that is electromyographic signals, which are generated by muscle contractions and represent neuromuscular activity. sEMG signal is a stochastic signal that is influenced by a variety of noise sources, including electromagnetic interference from power lines, noise generated by movement of the electrodes and their cables, and the crosstalk signal caused by interference from other muscle signals. The use of appropriate circuitry can lessen this form of noise. A notch filter can be used to reduce noise from power line interference, while a high-pass filter can be used to reduce noise from artefact motion because it occurs between 0 and 20 Hz. Because the amplitudes of sEMG signals are so small, precise electrode placement and good skin contact are essential to get adequate signal levels. Because of the sEMG signals and the direct correlation between sEMG signals and movement intention, the use of sEMG signals as a command for control thus eliminating the time delay between the human intention and actual movement of the device joints, EMG-based control for robotic gloves and hand exoskeletons has recently been used. Another advantage of employing sEMG signals as a control signal over other ways is that it is more natural, as it follows the natural path for controlling the hand muscles, which leads to increased sEMG signal levels and improved patient hand functions. As a result, EMG-based control is now the most prevalent way for operating active orthotic devices. Therefore, we intend to design and develop sEMG amplifier for the acquisition of muscle signals that would be use for recording for different neuromuscular disorders including stroke and paralysis. The following figure shows the proposed block diagram of EMG acquisition system.

The aim of this project is to design and develop EMG acquisition system to record and monitor the muscle activities. The objectives of project includes;
1. To Design EMG circuit
2. To develop a Graphical user interface (GUI) for EMG signals recording
3. EMG Acquisition
Project Implementation Method- Simulations of EMG circuit
- Design of Electronic Assembly.
- Selection of Electronic Components.
- Fabrication of Electronic assembly
- GUI development
- EMG Acquisition
- Testing
The project benefit includes the following.
- The proposed project will help the doctors to record the EMG signals to treat the neuromuscular disorders.
- The device will save the EMG recordings for long time that will help the doctors to monitor the disorders from time to time.
- Low cost device
- Indigenous design.
- Benefit for Pakistan Health care Industry and society.
In this project, an EMG acquisition device will be designed and developed with user-friendly GUI (graphical user interface) for recording and monitoring of muscular activities for the treatment of neuromuscular disorders. In this project, 2 channels EMG acquisition device will be developed via interface through surface electrodes on the muscles. The electrodes will get the muscles signals and will amplify by instrumentation amplifier. A notch filter can be used to reduce noise from power line interference, while a high-pass filter can be used to reduce noise from artifact motion because it occurs between 0 and 20 Hz. Because the amplitudes of sEMG signals are so small, precise electrode placement and good skin contact are essential to get adequate signal levels. The device will be able to record data from the muscles and interface to PC via microcontroller. The recorded data can be viewed as a historical file or can be archived for further analysis. The LCD will display the waveforms and the measured values. The following figure shows the proposed block diagram of EMG acquisition system.

| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 69500 | |||
| Arduino | Equipment | 2 | 3000 | 6000 |
| Instrumentation Amplifiers | Equipment | 4 | 700 | 2800 |
| Notch filters ICs | Equipment | 3 | 500 | 1500 |
| Filters ICs | Equipment | 5 | 300 | 1500 |
| LCD | Equipment | 1 | 7000 | 7000 |
| DAQ card | Equipment | 1 | 18000 | 18000 |
| Resistors | Equipment | 10 | 50 | 500 |
| Capacitors | Equipment | 10 | 50 | 500 |
| Wires | Equipment | 1 | 500 | 500 |
| PCB circuit and fabrication | Equipment | 1 | 9000 | 9000 |
| Electronic case assembly | Equipment | 1 | 6000 | 6000 |
| EMG electrodes | Equipment | 50 | 100 | 5000 |
| Thesis printing and binding | Equipment | 6 | 1600 | 9600 |
| Power supply | Equipment | 2 | 800 | 1600 |