Abstract
The analysis of surface electromyography (EMG) signals is generally based on three major issues, i.e., the detection of muscle force, muscle geometry, and muscle fatigue. Recently, there are no any techniques that can analyse all the issues. Mean frequency (MNF) and median frequency (MDF) have been successfully applied to be used as muscle force and fatigue indices in previous studies. However, there is the lack of consensus upon the effect of muscle geometry on the basis of varying joint angles. In this paper, the modification of MNF and MDF using a min-max normalization technique was proposed to provide a consistent relationship between feature value and joint angle across subjects. The results show that MNF and MDF extracted from normalized EMG showed a stronger linear relationship with elbow joint angle compared to traditional MNF and MDF methods. Modified MNF and MDF features increased with increasing elbow angle during isometric flexion. As a result of the proposed technique, modified MNF and MDF features could be used as a universal index to determine all the issues involving muscle fatigue, muscle force, and also muscle geometry.
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References
Cechetto, A.D., Parker, P.A., Scott, R.N.: The Effects of Four Time-Varying Factors on the Mean Frequency of a Myoelectric Signal. J. Electromyogr. Kinesiol. 11, 347-354 (2001)
Phinyomark, A., Phukpattaranont, P., Limsakul, C.: Feature Reduction and Selection for EMG Signal Classification. Expert Syst. Appl. 39, 7420-7231 (2012)
Cifrek, M., Medved, V., Tonkovic, S., Ostojic, S.: Surface EMG Based Muscle Fatigue Evaluation in Biomechanics. Clin. Biomech. 24, 327-40 (2009)
Kaplanis, P.A., Pattichis, C.S., Hadjileontiadis, L.J., Roberts, V.C.: Surface EMG Analysis on Normal Subjects Based on Isometric Voluntary Contraction. J. Electromyogr. Kinesiol. 19, 157-71 (2009)
Phinyomark, A., Thongpanja, S., Hu, H., Phukpattaranont, P., Limsakul, C.: The Usefulness of Mean and Median Frequencies in Electromyography Analysis. In: Naik G.R. (ed.). Computational Intelligence in Electromyography Analysis: A Perspective on Current Applications and Future Challenges. pp. 195-220. InTech (2012)
Thongpanja, S., Phinyomark, A., Phukpattaranont, P., Limsakul, C.: Mean and Median Frequency of EMG Signal to Determine Muscle Force Based on Time-Dependent Power Spectrum. Elektron. Elektrotech. 19, 51-56 (2013)
Thongpanja, S., Phinyomark, A., Phukpattaranont, P., Limsakul, C.: Time-Dependent EMG Power Spectrum Features of Biceps Brachii During Isotonic Exercise. J. Sports. Sci. Technol. 10, 314-318 (2010)
Thongpanja, S., Phinyomark, A., Phukpattaranont, P., Limsakul, C.: Time-Dependent EMG Power Spectrum Parameters of Biceps Brachii During Cyclic Dynamic Contraction. In: 5th Kuala Lumpur International Conference Biomedical Engineering, pp. 233-236. (2011)
Cifrek, M., Tonkovic, S., Medved, V.: Measurement and Analysis of Surface Myoelectric Signals during Fatigued Cyclic Dynamic Contractions. Measurement. 27, 85-92 (2000)
Thongpanja, S., Phinyomark, A., Phukpattaranont, P., Limsakul, C.: A Feasibility Study of Fatigue and Muscle Contraction Indices Based on EMG Time-Dependent Spectral Analysis. In: 3rd International Science, Social Science, Engineering and Energy Conference, pp. 239-245 (2012)
Merletti, R., Lo Conte, L., Avignone, E., Guglielminotti, P.: Modeling of Surface Myoelectric Signals-Part I: Model implementation. IEEE Tran. Biomed. Eng. 46, 810-820 (1999)
Sato, H.: Some Factors Affecting the Power Spectra of Surface Electromyograms in Isometric Contractions. J. Anthropol. Nippon. Soc. 84, 105-113 (1976)
Gerdle, B., Eriksson, N.E., Brundin, L., Edstrom, M.: Surface EMG Recordings during Maximum Static Shoulder Forward Flexion in Different Positions. Eur. J. Appl. Physiol. Occup. Physiol. 415-419, 57 (1988)
Potvin, J.R.: Effects of Muscle Kinematics on Surface EMG Amplitude and Frequency during Fatiguing Dynamic Contractions. J. Appl. Physiol. 82, 144-151 (1997)
Doheny, E.P., Lowery, M.M., FitzPatrick, D.P., O’Malley, M.J.: Effect of Elbow Joint Angle on Force-EMG Relationships in Human Elbow Flexor and Extensor Muscles. J. Electromyogr. Kinesiol. 18, 760-770 (2008)
Bolgla, L.A., Uhl, T.L.: Reliability of Electromyographic Normalization Methods for Evaluating the Hip Musculature. J. Electromyogr. Kinesiol. 17, 102-111 (2007)
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Thongpanja, S., Phinyomark, A., Limsakul, C., Phukpattaranont, P. (2015). Application of Mean and Median Frequency Methods for Identification of Human Joint Angles Using EMG Signal. In: Kim, K. (eds) Information Science and Applications. Lecture Notes in Electrical Engineering, vol 339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46578-3_81
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DOI: https://doi.org/10.1007/978-3-662-46578-3_81
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