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Processing and interpretation of surface electromyogram signal to design prosthetic device

Published online by Cambridge University Press:  23 September 2014

Karan Veer Open the ORCID record for Karan Veer [Opens in a new window] ,
Ravinder Agarwal  and
Amod Kumar
Karan Veer*
Affiliation:
Electrical and Instrumentation Engineering Department, Thapar University, Patiala, India
Ravinder Agarwal
Affiliation:
Electrical and Instrumentation Engineering Department, Thapar University, Patiala, India
Amod Kumar
Affiliation:
Central Scientific Instruments Organization (CSIO), Chandigarh, India
*
*Corresponding author. E-mail: [email protected]
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Summary

The study of arm muscles for independent operations leading to prosthetic design was carried out. Feature extraction was done on the recorded signal for investigating the voluntary muscular contraction relationship for different arm motions and then repeated factorial analysis of variance (ANOVA) technique was implemented to analyze effectiveness of signal. The electronic design consisted of analog and digital signal processing and controlling circuit and mechanical assembly consisted of wrist, palm and the fingers to grip the object in addition to a screw arrangement connected to a low power DC motor and gear assembly to open or close the hand. The wrist is mechanically rotated to orient the hand in a direction suitable to pick up/hold the object. The entire set up is placed in a casing which provides a cosmetic appeal to the artificial hand and the connected arm. The design criteria include electronic control, reliability, light weight, variable grip force with ease of attachment for simple operations like opening, grasping and lifting objects of different weight with grip force slightly more than enough just like that of a natural hand.

Keywords

Signal processingBiomechanicsMicrocontrollerElectromyogramVariable grip force
Type
Articles
Information
Robotica , Volume 34 , Issue 7 , July 2016 , pp. 1486 - 1494
Copyright
Copyright © Cambridge University Press 2014 

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