132 related articles for article (PubMed ID: 21096653)
1. A mixed FES/EMG system for real time analysis of muscular fatigue.
Yochum M; Binczak S; Bakir T; Jacquir S; Lepers R
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():4882-5. PubMed ID: 21096653
[TBL] [Abstract][Full Text] [Related]
2. Monitoring of FES-induced muscle activity by continuous EMG-recording.
Girsch W; Bijak M; Heger G; Koller R; Lanmüller H; Mayr W; Thoma H; Losert U
Int J Artif Organs; 1995 Jun; 18(6):340-4. PubMed ID: 8593970
[TBL] [Abstract][Full Text] [Related]
3. Simultaneous measurement of force and muscle fatigue using frequency-band wavelet analysis.
Soo Y; Sugi M; Yokoi H; Arai T; Du R; Ota J
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5045-8. PubMed ID: 19163850
[TBL] [Abstract][Full Text] [Related]
4. Wavelet analysis of surface electromyography to determine muscle fatigue.
Kumar DK; Pah ND; Bradley A
IEEE Trans Neural Syst Rehabil Eng; 2003 Dec; 11(4):400-6. PubMed ID: 14960116
[TBL] [Abstract][Full Text] [Related]
5. Evoked electromyography-based closed-loop torque control in functional electrical stimulation.
Zhang Q; Hayashibe M; Azevedo-Coste C
IEEE Trans Biomed Eng; 2013 Aug; 60(8):2299-307. PubMed ID: 23529189
[TBL] [Abstract][Full Text] [Related]
6. An EMG Patch for the Real-Time Monitoring of Muscle-Fatigue Conditions During Exercise.
Liu SH; Lin CB; Chen Y; Chen W; Huang TS; Hsu CY
Sensors (Basel); 2019 Jul; 19(14):. PubMed ID: 31337107
[TBL] [Abstract][Full Text] [Related]
7. Influence of fatigue on the simulated relation between the amplitude of the surface electromyogram and muscle force.
Dideriksen JL; Farina D; Enoka RM
Philos Trans A Math Phys Eng Sci; 2010 Jun; 368(1920):2765-81. PubMed ID: 20439272
[TBL] [Abstract][Full Text] [Related]
8. Fourier and wavelet spectral analysis of EMG signals in supramaximal constant load dynamic exercise.
Camata TV; Dantas JL; Abrao T; Brunetto MA; Moraes AC; Altimari LR
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():1364-7. PubMed ID: 21096332
[TBL] [Abstract][Full Text] [Related]
9. Assessment of average muscle fiber conduction velocity from surface EMG signals during fatiguing dynamic contractions.
Farina D; Pozzo M; Merlo E; Bottin A; Merletti R
IEEE Trans Biomed Eng; 2004 Aug; 51(8):1383-93. PubMed ID: 15311823
[TBL] [Abstract][Full Text] [Related]
10. A comparison of EMG-based muscle fatigue assessments during dynamic contractions.
Rogers DR; MacIsaac DT
J Electromyogr Kinesiol; 2013 Oct; 23(5):1004-11. PubMed ID: 23800437
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Detection of EMG-based muscle fatigue during cyclic dynamic contraction using a monopolar configuration.
Hotta Y; Ito K
Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():2140-3. PubMed ID: 24110144
[TBL] [Abstract][Full Text] [Related]
13. Design, development and testing of a low-cost sEMG system and its use in recording muscle activity in human gait.
Supuk TG; Skelin AK; Cic M
Sensors (Basel); 2014 May; 14(5):8235-58. PubMed ID: 24811078
[TBL] [Abstract][Full Text] [Related]
14. Estimation of muscular fatigue under electromyostimulation using CWT.
Yochum M; Bakir T; Lepers R; Binczak S
IEEE Trans Biomed Eng; 2012 Dec; 59(12):3372-8. PubMed ID: 22929366
[TBL] [Abstract][Full Text] [Related]
15. Bandwidth optimization for filter-based fatigue index in different inter-electrode distances.
Kim J; Son J; Kim Y
Biomed Mater Eng; 2014; 24(6):3701-8. PubMed ID: 25227085
[TBL] [Abstract][Full Text] [Related]
16. EMG-based detection of muscle fatigue during low-level isometric contraction by recurrence quantification analysis and monopolar configuration.
Ito K; Hotta Y
Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():4237-41. PubMed ID: 23366863
[TBL] [Abstract][Full Text] [Related]
17. The validity of stimulus-evoked EMG for studying muscle fatigue characteristics of paraplegic subjects during dynamic cycling movement.
Chen JJ; Yu NY
IEEE Trans Rehabil Eng; 1997 Jun; 5(2):170-8. PubMed ID: 9184903
[TBL] [Abstract][Full Text] [Related]
18. Fatigue compensation during FES using surface EMG.
Winslow J; Jacobs PL; Tepavac D
J Electromyogr Kinesiol; 2003 Dec; 13(6):555-68. PubMed ID: 14573370
[TBL] [Abstract][Full Text] [Related]
19. Surface EMG and fatigue.
Jurell KC
Phys Med Rehabil Clin N Am; 1998 Nov; 9(4):933-47, viii-ix. PubMed ID: 9894104
[TBL] [Abstract][Full Text] [Related]
20. A generic model of real-world non-ideal behaviour of FES-induced muscle contractions: simulation tool.
Lynch CL; Graham GM; Popovic MR
J Neural Eng; 2011 Aug; 8(4):046034. PubMed ID: 21757801
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
