1. DEVELOPMENT OF WIRELESS ARM SWITCH EMG CONTROL SYSTEM FOR REHABILITATION
PRESENTER : HAZWANI BINTI AZHAR
ID NO :
COURSE: BET MEDICAL ELECTRONICS SEMESTER : S1 2016

2. BACKGROUND OF PROJECT
A Rehabilitation gadget is one that helps a differentially abled individual to control his or her surroundings and convey all the more adequately. These assistive gadgets push more terrific autonomy by empowering individuals to perform errands with the assistance of innovation. [1]
With change in engineering, there is a tremendous improvement in the field of recovery strategies. Investigates are happening to create dependable, minimal effort and simple to utilize gadgets. Out of all the recovery procedures, HCI (Human Computer Interface) and HMI (Human Machine Interface) are the most recent and best systems. Explores in these fields are constantly completed widely.
The principle goal of the HMI framework is transformation of indicators created by people through different motions to control some electromechanical gadgets. While in HCI framework some key strokes or cursor developments on the screen are controlled by utilizing these indicators. In HCI and HMI both biosignals and non biosignals are utilized as a medium of control. The boss biosignals utilized within the Interface are Electromyography (EMG), Electroencephalography (EEG) and Electrooculography (EOG) [2].
HMI is normally utilized by engine hindered patients to control wheelchair. The current venture concentrates on the advancement of a model engine wheelchair controlled by EMG indicators. EMG signs were utilized to produce control indicators for the development of the wheelchair.

3. PROBLEM STATEMENT
Major issues lead to the development of proposed wireless arm switch EMG control system for rehabilitation comprises the disadvantages of wired technology.
A lack of mobility, risk of damage, cost and scalability are all issues with the use of wired technology.
The biggest disadvantage of wired technology is that it lacks the mobility that wireless technology provides the user are physically limited to the reach of the cable, whereas wireless technology allows users to move great distances freely and without hassle.
Moving equipment that is even within the range of the cable may be difficult if ones choose to mount the cables rather than have them dangling.
Exposed cables are susceptible to everyday abuse from things such as cleaning. Wires that are exposed and not properly laid may also pose a tripping risk, not only damaging the cable but also potentially sending someone to the emergency room.

4. DESCRIPTION OF PROJECT
A wireless arm switch EMG control system development has been proposed. The proposed device may be categorized into two modules:
Wireless EMG based control system
(b) Servo-motor driver circuit.
The wearable signal acquisition and classification module will transmit the control signals to the servo-motor module using Xbee protocol. The introduction of the wireless communication protocol is expected to simplify the operation of the rehabilitative devices and make the system user friendly.

5. MAIN OBJECTIVES OF THE PURPOSE PROJECT
Studies carried out to successfully build this project based on the expected objectives:
1. To develop a wireless arm switch EMG control system that will utilize the ability of disabled people or elderly who in need to still retain and enable them to remote wheelchairs with full hands free operation.
2. To ease and let these individuals to maneuver themselves independently with minimal need of assistance from caretaker.
3. To design low cost portable wireless EMG control system for general purpose human-machine interaction

6. FLOWCHART
OF STUDY

7. BLOCK DIAGRAM EMG

8. BLOCK DIAGRAM CONTROL

9. Emg Main circuit for daq (TO CLASSIFY SOME EMG OUTPUT TO TEST CIRCUIT FUNCTIONING & CONDITIONING)

10. circuit for wireless control application (TO generate idea FOR CONTROLLING MINITUARIZED WHEELCHAIR )

11. Program for control using dc motor (circuit testing results)

12. RESULTS & ANALYSIS
RESULTED EMG OUTPUT (RANDOM EMG SIGNAL ACQUIRED FROM THE FORE ARM ALSO BEING TESTED FOR STABLE OUTPUT SIGNAL GENERATED)
Different finger movement
Varied Differential EMG Input Signal from forearm (mV)
Resulted
Output EMG
(with gain = 1000)
Suggested EMG signal classification for assigning wireless input serial values control application
Thumb Flexion
0.1mV~0.3mV
1~10 Vamp 1
Middle Flexion
0.4mV~1.2mV
11~24 Vamp 2
Index Flexion
1.3mV~2.4mV
25~50 Vamp 3
All finger abduction
>2.5mV
>50 Vamp 4

13. Switch Representative
RESULTS & ANALYSIS
RESULTED DIRECTION OF MOTOR OUTPUT
Switch Representative
DC 1
DC 2
Direction of motor 1
FORWARD 2
BACKWARD 3
STOP
RIGHT 4
LEFT
No switch is pushed

14. Expected outcomes
RELATIONSHIP TABLE SHOULD BE ESTABLISHED BETWEEN FINGER FLEXION AND DIRECTION CONTROL SERVO MOTOR OUTPUT
Finger Movement
Movement Intended
Servo Left Motor
Servo Right Motor
Index Flexion
Right + -
Middle Flexion
Left
Thumb Flexion
Forward
All finger Flexion
Backward _
No movement
Stop

15. Project MILESTONE (fyp1)

16. conclusion
EMG and control application system has been designed and implemented.
A new algorithm for EMG and signal classification for control signal generation was also developed.
The proposed systems are not only user friendly but also cost effective in nature.
The freedom of the user is much higher as compared to the wired control systems.
The developed device will help in eliminating the drawbacks of the traditional electric powered-wheelchair.
This system is used to generate the control signal with different hand movement. These generated control signals are used to control the wheelchair model corresponding to hand movement.
Development of EMG based control system for assistive device will be a good assistive technique for people suffering from extremely limited peripheral mobility.
From the application point of view generated control signal can also be used to control the other rehabilitative devices.

17. reference [1] J. Katz, et al., "Handbook of clinical audiology," 1994.
[2] V. Stanford, "Biosignals offer potential for direct interfaces and health monitoring," Pervasive Computing, IEEE, vol. 3, pp , 2004.
[3] Aileen Belinda anak Boby and Norbalkhis Mohd Basri, “Development of Portable EMG Circuit,” (2015).
[4] D. Andreasen, et al., "Exoskeleton with EMG based active assistance for rehabilitation," in Rehabilitation Robotics, ICORR th International Conference on, 2005, pp
[5] P. Kadam, "Powered Wheelchair Controller Using Hybrid Bio-Signals," 2010.
[6] O. Fukuda, et al., "EMG-based human-robot interface for rehabilitation aid," in Robotics and Automation, Proceedings IEEE International Conference on, 1998, pp
[7] X. Zhang, et al., "Hand gesture recognition and virtual game control based on 3D accelerometer and EMG sensors," in Proceedings of the 14th international conference on Intelligent user interfaces, 2009, pp
[8] X. Chen, et al., "Hand gesture recognition research based on surface EMG sensors and 2D-accelerometers," in Wearable Computers, th IEEE International Symposium on, 2007, pp
[9] I. Moon, et al., "Intelligent robotic wheelchair with EMG-, gesture-, and voice-based interfaces," in Intelligent Robots and Systems, 2003.(IROS 2003). Proceedings IEEE/RSJ International Conference on, 2003, pp