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The Transactions of the Korean Institute of Electrical Engineers
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Trans. Korean. Inst. Elect. Eng.
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2019-04
(Vol.68 No.04)
10.5370/KIEE.2019.68.4.573
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REF
References
1
J.V. Basmajian, C.J. De Luca, 1985, Muscles alive : Their functions revealed by electromyography., Baltimore, MD, Williams & Wilkins
2
R. M. Enoka, 2012, Muscle fatigue – from motor units to clinical symtoms, J. of Biomechanics, Vol. 45, pp. 427-433
3
L. Lindström, R. Magnusson, I. Petersen, 1970, Muscular fatigue and action potential conduction velocity changes studies with frequency analysis of EMG signal, Electromyography, Vol. 10, pp. 341-356
4
F. B. Stulen, C. J. De Luca, 1982, Muscle fatigue monitor: a noninvasive device for observing localized muscular fatigue, IEEE Trans., BME, Vol. 29, No. 12, pp. 760-768
5
R. Merletti, D. Biey, G. Prato, A. Orusa, 1985, On-line monitoring of the median frequency of the Surface EMG power spectrum, IEEE Trans., BME, Vol. 32, No. 1, pp. 1-7
6
G. V. Dimitrov, T. I. Arabadzhiev, K. N. Mileva, J. L. Bowtell, N. Crichton, 2006, Muscle fatigue during dynamic contractions assessed by new spectral indices, Med. Sci. Sports Exerc., Vol. 38, No. 11, pp. 1971-1979
7
M. Cifrek, V. Medved, S. Tonkovic, S. Ostojic, 2009, Surface EMG based muscle fatigue evaluation in biomechanics, Clinical Biomechanics, Vol. 24, pp. 327-340
8
M. Gonzalez-Izal, A. Malanda, G. Estaban, I. Mikel, 2012, Electro-myographic models to assess muscle fatigue, J. Electromyogr. Kinesiol., Vol. 22, pp. 501-512
9
C. Rita, J. Mark, P. Brach S. Marco, Y. Jieping, P. Sethuraman, 2012, A subject independent method for auto- matically grading electromyographic features during a fatiguing contraction, IEEE Trans., BME, Vol. 59, No. 6, pp. 1749-1757
10
L. Kahl, U. G. Hofmann, 2016, Comparison of algorithms to quantify muscle fatigue in upper limbs muscles based on sEMG signals, Med., Eng. and Physics, Vol. 38, pp. 1260-1269
11
A. Papoulis, 1965, Probability, random variables and stochastic processes, Mcgraw-Hill, NY
12
J. Lee, W.H. Kang, S.H. Kim, 2005, A study on the quantitative analysis of Surface EMG interference pattern with T/A variables, J. of KIEE, Vol. 54, No. 5, pp. 348-357
13
J. Lee, H.W. Yang, E.K. Jung, 2007, Spike variable analysis of surface EMG signal during constant voluntary contraction, J. of KIEE, Vol. 56, No. 4, pp. 809-816
14
J. Lee, M.Y. Jung, S.H Kim, 2011, Reliability of spike and turn variables of surface EMG during isometric voluntary contractions of the biceps brachii muscle, J. Electromyogr. Kinesiol., Vol. 21, pp. 119-127
15
http://www.delsys.com
16
C. M. Thompson, L. Shure, 2002, Matlab and Simulink User's Guide, Mathworks Inc.