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
Link To Document :
بازگشت