Artificial Intelligent Systems and Machine Learning

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Identification of Irregularities in Oral Movement Using EMG Sensors


Affiliations
1 Department of Electronics and Communication Engineering, KPR Institute of Engineering and Technology, Coimbatore, India
     

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Bio Signals are the electrical pulses available from every living being in this world and one of the primary signals is given out by our muscles. Signal variations corresponding to the convulsion and relaxation of muscles are termed as ElectroMyoGram and the method of analysis for the signal is called as Electromyograph. These signals are used for analysis of various muscular related parameters and some of the major parameters are muscular activity, inactive study of muscles, concentrated pulse development from irregularly working muscles, study of muscles damaged extensively from accidents and so on. Some of the basic parts of the body which exhibits good EMG wave patterns are,(i) Forehead and Jaws(ii) Upper arms, Fingers and biceps(iii) Toes, heels and calf muscles(iv) Spine and vertebrae. The aim of this project is to develop a module that can display real time raw EMG data from sensors and produce exact replica of the same for printing and analysis. In addition, the waves are to be collected for various ages and thereby produce a reference chart for each age group ranging from 10 to 25 years of age.

Keywords

Classification of Signals, EMG, Results.
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Abstract Views: 154

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  • Identification of Irregularities in Oral Movement Using EMG Sensors

Abstract Views: 154  |  PDF Views: 3

Authors

S. Radhika
Department of Electronics and Communication Engineering, KPR Institute of Engineering and Technology, Coimbatore, India
J. Nandhu Bashini
Department of Electronics and Communication Engineering, KPR Institute of Engineering and Technology, Coimbatore, India
G. Muthu Nandhini
Department of Electronics and Communication Engineering, KPR Institute of Engineering and Technology, Coimbatore, India
M. Santhanaraj
Department of Electronics and Communication Engineering, KPR Institute of Engineering and Technology, Coimbatore, India
V. P. Ajay
Department of Electronics and Communication Engineering, KPR Institute of Engineering and Technology, Coimbatore, India

Abstract


Bio Signals are the electrical pulses available from every living being in this world and one of the primary signals is given out by our muscles. Signal variations corresponding to the convulsion and relaxation of muscles are termed as ElectroMyoGram and the method of analysis for the signal is called as Electromyograph. These signals are used for analysis of various muscular related parameters and some of the major parameters are muscular activity, inactive study of muscles, concentrated pulse development from irregularly working muscles, study of muscles damaged extensively from accidents and so on. Some of the basic parts of the body which exhibits good EMG wave patterns are,(i) Forehead and Jaws(ii) Upper arms, Fingers and biceps(iii) Toes, heels and calf muscles(iv) Spine and vertebrae. The aim of this project is to develop a module that can display real time raw EMG data from sensors and produce exact replica of the same for printing and analysis. In addition, the waves are to be collected for various ages and thereby produce a reference chart for each age group ranging from 10 to 25 years of age.

Keywords


Classification of Signals, EMG, Results.