FINAL YEAR PROJECT 1 WPB49804 Development of arm gesture device Muhammad Nadzim bin Zulimi 51216113722 BACHELOR OF ENGINEERING TECHNOLOGY (HONS) IN MEDICAL ELECTRONICS

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.

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

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 1495.65 70 17.6 2116.048 120 17.2 2117.836 180 18 2363.94 220 17.4 2256.78 300 16.8 2135.28 340 17.3 2236.89 400 15.9 1987.5

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 .

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

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.

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

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

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

SIMULATION

CONSISTS Pre-Amp Differential Amp Low - High pass Rectifire

OUTPUT

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

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

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

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/= ----------------------------------------------

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.

concept

THANK YOU

^^^ EMGS System ^^^