1. FINAL YEAR PROJECT 1 WPB49804 Development of arm gesture device
Muhammad Nadzim bin Zulimi
BACHELOR OF ENGINEERING TECHNOLOGY (HONS) IN MEDICAL ELECTRONICS

2. ABSTRACT
Electromyography (EMG) signals can be used for clinical/biomedical applications. EMG signals acquired from muscles require advanced methods for detection, decomposition, processing, and classification. The purpose of this project is to illustrate the various methodologies and algorithms for EMG signal analysis to provide efficient and effective ways of understanding the signal and its nature. Comparison study is also given to show performance of various EMG signal analysis methods. This knowledge will help them develop more powerful, flexible, and efficient applications.

3. INTRODUCTION
EMG stands for electromyography. It is the study ofmuscle electrical signals. EMG is sometimes referred to as myoelectric activity. Muscle tissue conducts electrical potentials similar to the way nerves do and the name given to these electrical signals is the muscle action potential. Surface EMG is a method of recording the information present in these muscle action potentials. When detecting and recording the EMG signal, there are two main issues of concern that influence the fidelity of the signal. The first is the signal-to-noise ratio. That is, the ratio of the energy in the EMG signals to the energy in the noise signal

4. Ecg Range of working signal
Emg signal is usable are between 50 hz to 450 hz
Frequency (Hz)
Input (m Vpp)
Output (m Vpp) 50
16.9 70
17.6
120
17.2
180 18
220
17.4
300
16.8
340
17.3
400
15.9
1987.5

5. PROBLEM STATEMENT the use of emg. .
Most of the emg signal application is for rehab.
Not been really utilize for other type of application.
The common use are for prosthetic arm
The signal have never been model for more used .

6. LITERATURE REVIEW
Biomedical signal means a collective electrical signal acquired from any organ that represents a physical variable of interest. This signal is normally a function of time and is describable in terms of its amplitude,
frequency and phase. The EMG signal is a biomedical signal that measures electrical currents generated in muscles during its contraction representing neuromuscular activities.
The nervous system always controls the muscle activity (contraction/relaxation). Hence, the EMG signal is a complicated signal, which is controlled by the nervous system and is dependent on
the anatomical and physiological properties of muscles. EMG signal acquires noise while traveling through
different tissues.
Studies have been conducted on a paper that is Techniques of EMG signal analysis: detection, processing, classification and Applications M. B. I. Reaz,1* M. S. Hussain1 and F. Mohd-Yasin1

7. OBJECTIVE
This project is to develop a device that used emg signal as input .
This project to implement and utilize the used of emg signal
To model usable emg signal to implement on a dynamic device.

8. SCOPE Using emg signal for smart home.
Using emg signal to control a device

9. Hardware Implementation Software Implementation
Methodology
Research & Study
Planning
Hardware Implementation
Software Implementation
Analysis & Test
EMG
EMG signal
Arduino
Method
Arduino Uno R3
motor
Electrode sensor
Emg circuit
Writing the program C language
Hardware and software successfully function

10. ELECTRODE EMG MICROPROCESSER ELECTRONIC DEVICE EMG SENSOR
EMG SIGNAL & FILTER
MICROPROCESSER
ADC
ELECTRONIC DEVICE

11. SIMULATION

12. CONSISTS
Pre-Amp
Differential Amp
Low - High pass
Rectifire

13. OUTPUT

14. Result Frequency (Hz) Input (m Vpp) Output (m Vpp) 50 16.9 1550.0 70
2150.0
120
2380.0
180
2530.0
220
2580.0
300
2600.0
340
400
2500.0

15. BENEFIT / CONTRIBUTION
Patient and non patient can control more device just by using emg.
New way to and more used of emg signal in electronic device
Improve quality life

16. GANTT CHART Activities Month 9 10 11 12 1 2 3 4 5 6
Preliminary Work & Literature Review
System Design and Simulation
Software and Hardware Development
Software and Hardware Integration
System Testing
Result Analysis
Documentation & Report Development

17. BUDGET (Estimate Price)
COMPONENT
PRICE
Muscle Sensor
MYR 60.00
Muscle Sensor Cables and Electrodes
Biomedical Sensor Pad (10 in pack)
MYR 30.00
9volt Battery (x2)
MYR 15.00
Arduino Uno + USB cable
MYR 70.00
Wire + Resistor
MYR 10.00
Casing (Optional)
MYR 40.00
_______________________
Total
285.00/=

18. CONCLUSION
This project used emg signal to control electronic device, EMG signal carries valuable information regarding the nerve system. Research says the range of usable emg signal are between 50 to 450 Hz. So different type of signal will be used to used for different type of electronic device. This project will make a new breakthrough in electronic industry, emg signal can be more utilize in the industry.

19. concept

20. THANK YOU

21. ^^^ EMGS System ^^^