Progression Week 7

Block diagram for whole system

Based on figure above, it can be seen that the input, process and output part. 

The Input part

The system starts when EMG signal detected by surface EMG electrode. Surface EMG electrode need be used because it is non invasive and safe to the user. Next the signal will be filtered and amplified by AD620 IC. 

The Processing part

In this stage, the decomposition of EMG signal is processed by the EMG circuit design. 

The Output part

For the final stage, the signal in voltage condition will be powered the motor circuit to move the EMG electric wheelchair.    

Progression Week 6

THE COMPONENTS AND SOFTWARE 

After go through some websites in the internet and talk about my project with some of my senior and my supervisor, I came out with this components and software for my project.

• surface EMG electrode - the important part to detect the EMG signals.
• AD620 IC - to amplify the EMG signal produced
• 
  

Progression Week 5

BENEFITS of EMG application

- Device / Machine / Projects related to EMG

1) Smart Controller using EMG sensor (video) - A new wireless controller using EMG, acc. and gyroscope is introduced. EMG controller detects specific human motions and intentions and can be used many kinds of controllers.

2) CS 780 - Robotics Theory & Practice: Application of EMG Sensor As Manipulator Controller (video) - LynxMotion Johnny5 with SSC-32 servo controller circuit, controlled via Arduino and EMG sensor. Instructional relay program between microcontroller and robot was written in C.

 

Progression Week 4

AIM AND OBJECTIVE

I have highlighted several aim and objective for my project.

AIM 

• EMG electric wheelchair can use to paraplegia so they can move freely without anyone's help. 
• EMG electric wheelchair also benefits to other user as long as their muscle movement are in the best condition.

OBJECTIVE 

• To apply EMG signals to extract information about posture and movements of the muscle shoulder. 
• To develop the electric wheelchair controlled by EMG circuit.

Progression Week 3

1) Research on Paraplegia

Paraplegia is an impairment in motor or sensory function of the lower extremities. It is usually the result of spinal cord injury or a congenital condition such as spina bifida which affects the neural elements of the spinal canal. While some people with paraplegia can walk to a degree, many are dependent on wheelchairs or other supportive measures. Wheelchair mobility is an important skill to learn. Most paraplegics will be dependent on a wheelchair as a mode of transportation. Thus it is extremely important to teach them the basic skills to gain their independence.

2) Research on EMG signals detection technique

1) EMG and Muscle Activity - Tech Tips with Vernier (video)

2) Surface EMG (video)

 3) Research on EMG circuit design

1) How to design a single supply EMG circuit (video)

2) Basic EMG Signal Processing (video)

Progression Week 2

Objective : 

• to help student in the preparation of Final Year Project 
• to familiar student with the journal

List of Activity : 

• Attended briefing about Final Year Project at TTL 1 presented by Dr Muhd Noor and Dr Fahmi
• Retrieved information from http://www.ieee.org/index.html for the journal

Conclusion : 

• Understood the rules and what to be done in a fyp 
• got three journals retrieved from website which are ; (1) EMG Signals Detection Technique in Voluntary Muscle Movement (2) The Design of Wheelchair Based on SEMG Control (3) A New Control Method for Power-Assisted Wheelchair Based on the Surface Myoelectric Signal

Progression Week 1

Project Description

In recent times, the use of wheelchairs has increased rapidly. This is because with the aging of the current population, the demand for wheelchairs is increasing not only among the disabled but also among the increasing aged population. Therefore, I want to develop a new controller for power-assisted wheelchairs. Conventional power-assist controllers only focus on the amplification of the human input force using torque sensor. the proposed controller does not use a torque sensor but an electromyogram sensor to estimate the driver’s intention. I also use a disturbance observer to compensate for the lack of propelling torque information since it is difficult to simply regard the myoelectric signals as propelling torque. Then, I decide assist torque by combining the filtered myoelectric signals and the estimated human torque signal calculated by the disturbance observer. Experimental results show that the proposed power-assist method realizes fast, stable, and smooth acceleration. With the help of exploitation of myoelectric signals, disabled persons can have a chance to improve their life with their muscle movements.

Objective : 

• to make sure student have supervisor for the Final Year Project

List of Activity :

• Chose Mr Syazwan from Medical Electronics Section as the supervisor
• Discuss with advisor about the project title

Conclusion :

• Decided topic for Final Year Project which is "Development of Electronic Wheelchair controlled by EMG circuit"