Comparison of the muscle activation pattern for the vastus lateralis before and after an 8-week resistance training program

Biomedical Signal Processing and Control

Volumn 5, Issue 4, 2010, Pages 264-270

  Beck, Travis W ^a   Defreitas, Jason M ^a   Stock, Matt S ^a   Dillon, Michael A ^a  

^a UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

Electromyography; Isometric; Pattern classification; Wavelet

Indexed keywords

CURRICULA; ELECTROMYOGRAPHY; MUSCLE; PATTERN RECOGNITION; WAVELET ANALYSIS;

CLASSIFIED PATTERN; ELECTROMYOGRAPHIC SIGNAL; INTENSITY PATTERNS; ISOMETRIC; MAXIMUM VOLUNTARY CONTRACTION; PATTERN CLASSIFICATION TECHNIQUES; TIME-FREQUENCY DISTRIBUTIONS; WAVELET;

BIOMEDICAL SIGNAL PROCESSING;

ACCURACY; ADULT; ARTICLE; CONTROLLED STUDY; ELECTROMYOGRAM; ELECTROMYOGRAPHY; HUMAN; HUMAN EXPERIMENT; MALE; MATHEMATICAL ANALYSIS; MUSCLE CONTRACTION; MUSCLE ISOMETRIC CONTRACTION; MUSCLE STRENGTH; MUSCLE TRAINING; NORMAL HUMAN; PRIORITY JOURNAL; RESISTANCE TRAINING; VASTUS LATERALIS MUSCLE;

EID: 77956652059     PISSN: 17468094     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bspc.2010.07.002     Document Type: Article

References (15)

1. R. Merletti, and L.R. Lo Conte Surface EMG signal processing during isometric contractions J. Electromyogr. Kinesiol. 7 1997 241 250
2. V. von Tscharner Intensity analysis in time-frequency space of surface myoelectric signals by wavelets of specified resolution J. Electromyogr. Kinesiol. 10 2000 433 445
3. P. Bonato, G. Gagliati, and M. Knaflitz Analysis of myoelectric signals recorded during dynamic contractions IEEE Eng. Med. Biol. Mag. 15 1996 102 111
4. R. Constable, and R.J. Thornhill Using the discrete wavelet transform for time-frequency analysis of the surface EMG signal Biomed. Sci. Instrum. 29 1993 121 127
5. S. Karlsson, and B. Gerdle Mean frequency and signal amplitude of the surface EMG of the quadriceps muscles increase with increasing torque - a study using the continuous wavelet transform J. Electromyogr. Kinesiol. 11 2001 131 140
6. O. Rioul, and M. Vetterli Wavelets and signal processing IEEE Sig. Proc. Mag. 8 1991 14 38
7. V. von Tscharner Time-frequency and principal-component methods for the analysis of EMGs recorded during a mildly fatiguing exercise on a cycle ergometer J. Electromyogr. Kinesiol. 12 2002 479 492
8. V. von Tscharner, and B. Goepfert Gender dependent EMGs of runners resolved by time/frequency and principal pattern analysis J. Electromyogr. Kinesiol. 13 2003 253 272
9. V. von Tscharner, and V. Valderrabano Classification of multi muscle activation patterns of osteoarthritis patients during level walking J. Electromyogr. Kinesiol. 20 2010 676 683
10. K. Englehart, B. Hudgins, P.A. Parker, and M. Stevenson Classification of the myoelectric signal using time-frequency based representations Med. Eng. Phys. 21 1999 431 438 (Pubitemid 29537720)
11. N.F. Güler, and S. Kocer Use of support vector machines and neural network in diagnosis of neuromuscular disorders J. Med. Syst. 29 2005 271 284
12. T.W. Beck, and V. von Tscharner Concentric and eccentric isokinetic muscle activity separated by paired pattern classification of wavelet transformed mechanomyograms Biomed. Sig. Proc. Cont. 4 2009 94 101
13. V. von Tscharner Spherical classification of wavelet transformed EMG intensity patterns J. Electromyogr. Kinesiol. 19 2009 334 344
14. C. Torrence, and G.P. Compo A practical guide to wavelet analysis Bull. Am. Meteor. Soc. 79 1998 61 78
15. K. Fukunaga Introduction to Statistical Pattern Recognition 2nd ed. 1990 Morgan Kaufmann San Diego