DocumentCode
2235533
Title
Approach towards the characteristic interpretation of Electromyography (EMG) signal with clinical study
Author
Neogi, Biswarup ; Ghosal, Soumya ; Ghosh, Arijit ; Darbar, Rajkumar ; Ganguly, Soham ; Brahma, Bibek
Author_Institution
ECE Dept., DIATM, Durgapur, India
fYear
2011
fDate
22-24 Sept. 2011
Firstpage
788
Lastpage
791
Abstract
This paper is based on the glimpse of the clinical studies and its applications for starting different characteristic interpretation of Electromyography (EMG) signal. The paper presents the biological and the clinical properties of different human muscles and their movements. Strong and precise information about both active and inactive conditions of the skeletal muscles i.e propius muscle, biceps muscle, triceps muscle, deltoid muscle, etc. are shown in a tabular format. In real world, the elimination of anomaly of noisy EMG signal and its proper implementation is very difficult work. An attempt is taken on accomplishing an efficient and discretized knowledge based database of EMG interpretation and by the help of this database we just took a footstep to generate an actuator for the EMG interpretation to facilitate the modeling of dexterous prosthetic arm.
Keywords
artificial limbs; dexterous manipulators; electromyography; medical signal processing; EMG signal characteristic interpretation; biceps muscle; biological properties; clinical properties; deltoid muscle; dexterous prosthetic arm; electromyography signal; human muscles; propius muscle; skeletal muscles; triceps muscle; Brain modeling; Databases; Electromyography; Electronic mail; Humans; Muscles; Prosthetics; EMG; clinical study; dexterous arm; prosthetic arm; skeletal muscles;
fLanguage
English
Publisher
ieee
Conference_Titel
Recent Advances in Intelligent Computational Systems (RAICS), 2011 IEEE
Conference_Location
Trivandrum
Print_ISBN
978-1-4244-9478-1
Type
conf
DOI
10.1109/RAICS.2011.6069417
Filename
6069417
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