134 related articles for article (PubMed ID: 21334627)
1. Insights gained into the interpretation of surface electromyograms from the gastrocnemius muscles: A simulation study.
Mesin L; Merletti R; Vieira TM
J Biomech; 2011 Apr; 44(6):1096-103. PubMed ID: 21334627
[TBL] [Abstract][Full Text] [Related]
2. Are the myoelectric manifestations of fatigue distributed regionally in the human medial gastrocnemius muscle?
Gallina A; Merletti R; Vieira TM
J Electromyogr Kinesiol; 2011 Dec; 21(6):929-38. PubMed ID: 21911301
[TBL] [Abstract][Full Text] [Related]
3. A bi-dimensional index for the selective assessment of myoelectric manifestations of peripheral and central muscle fatigue.
Mesin L; Cescon C; Gazzoni M; Merletti R; Rainoldi A
J Electromyogr Kinesiol; 2009 Oct; 19(5):851-63. PubMed ID: 18824375
[TBL] [Abstract][Full Text] [Related]
4. Estimation of average muscle fiber conduction velocity from simulated surface EMG in pinnate muscles.
Mesin L; Damiano L; Farina D
J Neurosci Methods; 2007 Mar; 160(2):327-34. PubMed ID: 17070925
[TBL] [Abstract][Full Text] [Related]
5. Assessment of muscle fatigue during biking.
Knaflitz M; Molinari F
IEEE Trans Neural Syst Rehabil Eng; 2003 Mar; 11(1):17-23. PubMed ID: 12797721
[TBL] [Abstract][Full Text] [Related]
6. Muscle fluid shift does not alter EMG global variables during sustained isometric actions.
von Walden F; Pozzo M; Elman T; Tesch PA
J Electromyogr Kinesiol; 2008 Oct; 18(5):849-56. PubMed ID: 17466537
[TBL] [Abstract][Full Text] [Related]
7. Automatic segmentation of surface EMG images: Improving the estimation of neuromuscular activity.
Vieira TM; Merletti R; Mesin L
J Biomech; 2010 Aug; 43(11):2149-58. PubMed ID: 20444452
[TBL] [Abstract][Full Text] [Related]
8. Simulation analysis of interference EMG during fatiguing voluntary contractions. Part II--changes in amplitude and spectral characteristics.
Dimitrov GV; Arabadzhiev TI; Hogrel JY; Dimitrova NA
J Electromyogr Kinesiol; 2008 Feb; 18(1):35-43. PubMed ID: 16963280
[TBL] [Abstract][Full Text] [Related]
9. Comparison of electromyographic signals from monopolar current and potential amplifiers derived from a penniform muscle, the gastrocnemius medialis.
von Tscharner V; Maurer C; Ruf F; Nigg BM
J Electromyogr Kinesiol; 2013 Oct; 23(5):1044-51. PubMed ID: 23938250
[TBL] [Abstract][Full Text] [Related]
10. Upper trapezius muscle mechanomyographic and electromyographic activity in humans during low force fatiguing and non-fatiguing contractions.
Madeleine P; Farina D; Merletti R; Arendt-Nielsen L
Eur J Appl Physiol; 2002 Aug; 87(4-5):327-36. PubMed ID: 12172870
[TBL] [Abstract][Full Text] [Related]
11. Differences in myoelectric manifestations of fatigue in sprinters and long distance runners.
Rainoldi A; Gazzoni M; Melchiorri G
Physiol Meas; 2008 Mar; 29(3):331-40. PubMed ID: 18367808
[TBL] [Abstract][Full Text] [Related]
12. Do surface electromyograms provide physiological estimates of conduction velocity from the medial gastrocnemius muscle?
Gallina A; Ritzel CH; Merletti R; Vieira TM
J Electromyogr Kinesiol; 2013 Apr; 23(2):319-25. PubMed ID: 23265664
[TBL] [Abstract][Full Text] [Related]
13. Adaptive filtering for ECG rejection from surface EMG recordings.
Marque C; Bisch C; Dantas R; Elayoubi S; Brosse V; Pérot C
J Electromyogr Kinesiol; 2005 Jun; 15(3):310-5. PubMed ID: 15763678
[TBL] [Abstract][Full Text] [Related]
14. Cross talk in surface electromyograms of human hamstring muscles.
Koh TJ; Grabiner MD
J Orthop Res; 1992 Sep; 10(5):701-9. PubMed ID: 1500982
[TBL] [Abstract][Full Text] [Related]
15. Electrical manifestations of muscle fatigue during concentric and eccentric isokinetic knee flexion-extension movements.
Molinari F; Knaflitz M; Bonato P; Actis MV
IEEE Trans Biomed Eng; 2006 Jul; 53(7):1309-16. PubMed ID: 16830935
[TBL] [Abstract][Full Text] [Related]
16. Spectral properties of myoelectric signals from different motor units in the leg extensor muscles.
Wakeling JM; Rozitis AI
J Exp Biol; 2004 Jun; 207(Pt 14):2519-28. PubMed ID: 15184523
[TBL] [Abstract][Full Text] [Related]
17. Influence of high motor unit synchronization levels on non-linear and spectral variables of the surface EMG.
Fattorini L; Felici F; Filligoi GC; Traballesi M; Farina D
J Neurosci Methods; 2005 Apr; 143(2):133-9. PubMed ID: 15814145
[TBL] [Abstract][Full Text] [Related]
18. Experimental muscle pain decreases voluntary EMG activity but does not affect the muscle potential evoked by transcutaneous electrical stimulation.
Farina D; Arendt-Nielsen L; Graven-Nielsen T
Clin Neurophysiol; 2005 Jul; 116(7):1558-65. PubMed ID: 15907396
[TBL] [Abstract][Full Text] [Related]
19. Simulation analysis of interference EMG during fatiguing voluntary contractions. Part I: What do the intramuscular spike amplitude-frequency histograms reflect?
Dimitrov GV; Arabadzhiev TI; Hogrel JY; Dimitrova NA
J Electromyogr Kinesiol; 2008 Feb; 18(1):26-34. PubMed ID: 16963279
[TBL] [Abstract][Full Text] [Related]
20. Sensitivity of the cross-correlation between simulated surface EMGs for two muscles to detect motor unit synchronization.
Keenan KG; Farina D; Meyer FG; Merletti R; Enoka RM
J Appl Physiol (1985); 2007 Mar; 102(3):1193-201. PubMed ID: 17068220
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
