Characterization of Electromyography EMG Signals Based on Gender Difference

Myoelectric pattern recognition techniques have been widely used in research for prosthetics control over the last few years. EMG of upper and lower limb muscles of males and females has been used to see the efficiency of features and classifiers. But the gap that we identify is that no researc

Project Title

Characterization of Electromyography EMG Signals Based on Gender Difference

Project Area of Specialization

Artificial Intelligence

Project Summary

Myoelectric pattern recognition techniques have been widely used in research for prosthetics control over the last few years. EMG of upper and lower limb muscles of males and females has been used to see the efficiency of features and classifiers. But the gap that we identify is that no research has been carried out to find the difference in EMG of males and females for their forearm muscles specifically the flexors and extensors which support the wrist movements. Similarly, the features that have been used for the EMG of males and females are general. Research is silent on recommending the separate features for the males and females. Keeping in mind all this, the aims of the project are to evaluate the difference in EMG of males and females for their flexors and extensors of forearm muscles and then to evaluate the best features separately for both genders.

Project Objectives

As mentioned earlier in the project summary, the aims of our project are the following:

• To evaluate the possible difference in EMG performance for myoelectric control of males and female subjects.
• To evaluate the performance of different features.

Project Implementation Method

The methodology of the project can be explained as follows:

• Total 50 subjects recruitment; 20 each male and females.
• They would be healthy.
• Their age may vary between 18 to 26 years.
• EMG data of males and females will be collected on BIOPAC.
• The subjects would completely be guided and shown the protocol presentation.
• The protocol presentation of 480 seconds, consisting of 11 hand movements would be run on one PC or laptop.
• The protocol including 11 hand movements would be Hand Rest, Hand Close, Hand Open, Hand Flexion, Hand Extension, Hand Pronation, Hand Supination, Hand Adduction, Hand Abduction, Pointer and Agree).
• BIOPAC would be connected to a laptop for data recording.
• The subject’s dominant forearm would be cleansed with alcoholic pads thoroughly.
• Total 8 electrodes (4 flexors and 4 extensors) would be placed after watching the muscles movements on their dominant forearm.
• The subject’s pictures would be captured as proof.
• The EMG data of each subject would be processed on MATLAB.
• The difference in EMG and separate features for males and females would be evaluated.

Benefits of the Project

Myoelectric control of prosthesis via pattern recognition is the hot topic in research nowadays. Efforts by the researchers are carried out to design the prosthesis working more efficiently and productively. Our project has aims which would play a significant role in artificial intelligence. The foremost aim of medical science is to provide relief and convenience to the patients having no forelimbs and providing them with artificial forelimbs. Thus, research is the first step towards implementing an idea. Our targets are males and females whose EMG signals may vary. For them, the features are used categorically so far in research, but we want to evaluate separate best features for them which would increase the classifiers' working and distinguishing the separate hand movements by them. Eventually, this would help in designing the separate prosthetics for males and females based on their EMG difference.

Technical Details of Final Deliverable

We are currently on the initial stage of the project i.e. research in the small environment of our university. Due to less time, facilities and finances, the project is only carried out on the healthy subjects who are also students. However, if the budget and equipment are provided, the project can be extended to implement on the real patients having wrist abnormalities. Not only research but designing the prosthesis requires a lot of hard work, budget, time, consistency, and trials. Being undergraduate students, we can take the first step by carrying out research on the healthy subjects' EMG of flexor and extensor muscles. This would help us to confirm the difference in the EMG of males and females and evaluating separate features for them by feeding them to classifiers. These features and classifiers can then be utilized to eventually design separate prosthesis for males and females which would be a wonderful contribution towards medical and health science.

Final Deliverable of the Project

Software System

Type of Industry

Medical , Health

Technologies

Artificial Intelligence(AI), Robotics

Sustainable Development Goals

Good Health and Well-Being for People, Gender Equality

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com