Open Access Open Access  Restricted Access Subscription or Fee Access

Analysis of EMG Signal for the Identification of Neuromuscular Diseases Using Statistical Pattern Recognition Technique

Gauri Pachori, Arun Kumar Kumar Wadhwani

Abstract


The electromyography (EMG) is the study of muscular electrical signals. EMG is sometimes referred to myoelectric activity. Many muscular undergo some of the abnormalities such as muscular dystrophy, inflammation of muscle, peripheral nerve damages which may result into an abnormal Electromyogram. The shapes and firing rates of Motor Unit Action Potentials (MUAPs) in EMG signals gives an essential source of information for diagnosis of the neuromuscular disorders. Once appropriate methods for EMG signal analysis are readily available, the nature and characteristics of the signal can be properly understood and its implementations can be made for various EMG signal related applications. This paper gives a good understanding for to study and identify Neuromuscular disorders from EMG.

Full Text:

PDF

References


M.B.I. Reaz, M.S. Hussain, F. Mohd-Yasin. Techniques of EMG signal analysis: detection, processing, classification and applications, Biol Procedures Online. 2006; 8(1): 11–35p.

G.F. Inbar, A.E. Noujaim. On surface EMG spectral characterization and its application to diagnostic classification, IEEE Trans BME. 1984; 31(9): 597–604p.

S.C. Saxena, A.K. Wadhwani. A comparative study of the techniques for decomposition of EMG signals, IETE J Res. 2004; 50(1): 87–102p.

C.J. De Luca. Physiology and mathematics of myoelectric signals,

IEEE Trans BME. 1979; 26(6): 313–24p.

R.S. Khandpur. Handbook of Biomedical Instrumentation. New York: McGraw-hill Publishing Company Limited; 1987.

S.D. Nandcdkar, D.B. Sanders. Median averaging of electromyographic motor unit action potentials: comparison with other techniques, Med Biol Eng Comput. 1989; 566–72p.

L. Cromwell, F.J. Weibell. Handbook of Biomedical Instrumentation and Measurements. 2nd Edn.

J.V. Basmajian, C.J. De Luca. Muscle Alive Their Functions Revealed by Electromyography. Williams Wikins (Eds.), Baltimore; 1985.




DOI: https://doi.org/10.37628/ijemd.v3i1.528

Refbacks

  • There are currently no refbacks.