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Design and development of Real Time EMG pattern recognition for the control of below elbow Prosthesis

Implementing Organization

Principal Investigator
Prof. NirmalaDevi Subramanian
Anna University, Chennai, Tamil Nadu
CO-Principal Investigator
Dr. Jayasree T
Anna University, Chennai, Tamil Nadu-600025

About

The human physiological system has been considered as an immense piece of equipment, in which all parts work in concord with each other. This mechanism goes with good control activities until it is disturbed by the conditions like disease or injury which results in loss of some of its functionality. The loss of below elbow arm due to accidents or congenital diseases can have a significant impact on our lives. The best we can do is use below elbow prosthetics to restore some of the lost capability. The novelty of the proposed work is to design and develop a below elbow prosthetic arm. This below elbow prosthetic arm is designed by using 3D software tool with reference to the non-amputated arm and the same is developed by 3D printing. Then, EMG amplifiers are designed to acquire real EMG signals by placing sensors in various positions based on the need for different degrees of prosthesis movement (ex: abduction, adduction, extension, flexion). These signals are subjected to pre-processing methods. The pre-processed signal is used to extract the EMG pattern Recognition features. Then, using Deep CNN, PR features will be classified. Testing and training are performed depending on the features of various prosthetic hand motions. To interface the signals, EMG -PR features and to categorize the output to the prosthetic arm, an embedded microcontroller will be designed. Then, using AR/VR modeling, visual feedback will be given to the user regarding the relation between the forces associated with the contraction and the amplitude of the generated myoelectric signal. This combination of simulation and hardware design assists the user in understanding the functionality of the below elbow prosthetic arm. The end product of this proposed work will be a myoelectric below elbow prosthetic arm with various degrees of control movements using VR and AR tools. After completion of design and development and before end use, this product will be validated in hospitals /Rehabilitation centers. This prototype of below elbow prosthetic arm will be a supportive instrument for the amputees for better living.
Funding Organization
Funding Organization
Science and Engineering Research Board (SERB), New Delhi
Anusandhan National Research Foundation (ANRF)
Quick Information
Area of Research
Engineering Sciences
Start Year
2022
End Year
2025
Sanction Amount
₹ 28.13 L
Status
Completed
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
N/A
Startup (If Any)
00
No. of Patents
Filed :00
Grant :00
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