Analysis of Electromyography (EMG) Signal for Human Arm Muscle: A Review

  • A. F. T. IbrahimEmail author
  • V. R. Gannapathy
  • L. W. Chong
  • I. S. M. Isa
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 362)


Muscles provide motion in response to nerve impulses. There are two main categories of muscle can be distinguished based on their anatomy and the particular functions they perform. Skeletal muscles are the largest group of muscles control posture, generate heat, and provide motion control and are mostly influenced by the brain in conscious acts. Smooth muscles provide rhythmic motion outside the control of the brain. A nerve cell provides a train of impulses delivered to a group of muscles in which the impulses depolarize muscle cells and cause muscles to contract. Electromyography (EMG) is a technique for evaluating and recording electrical activity produced by skeletal muscles when the muscles are stimulated. Surface electromyography and needle electromyography are two general methods of recording the electrical activities of muscle tissue. In this project, surface electromyography will be used to test the analysis for human arm muscle. Electrodes placed on the skin surface can be used to monitor the coordination of entire muscle groups but will not reveal much about the individual muscle cells. Thorough testing will be done as the future work once the fabrication has been completed.


Electrical Activity Motor Unit Nerve Impulse Surface Electromyography Bandwidth Filter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The authors would like to take this opportunity to thank those who contributes directly or indirectly in completion of this article and also for their constructive comments. In addition, the authors also would like to express their gratitude to Faculty of Electronic & Computer Engineering and Universiti Teknikal Malaysia Melaka (UTeM) for the funding, support and encouragement.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • A. F. T. Ibrahim
    • 1
    Email author
  • V. R. Gannapathy
    • 1
  • L. W. Chong
    • 1
  • I. S. M. Isa
    • 1
  1. 1.Faculty of Electronic and Computer EngineeringUniversiti Teknikal Malaysia MelakaMelakaMalaysia

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