150 related articles for article (PubMed ID: 20869716)
1. Modeling nonlinear errors in surface electromyography due to baseline noise: a new methodology.
Law LF; Krishnan C; Avin K
J Biomech; 2011 Jan; 44(1):202-5. PubMed ID: 20869716
[TBL] [Abstract][Full Text] [Related]
2. Modeling nonlinear errors in surface electromyography due to baseline noise: a new methodology.
Hansson GÅ
J Biomech; 2011 May; 44(8):1637; author reply 1637-8. PubMed ID: 21457986
[No Abstract] [Full Text] [Related]
3. Nonlinear spatial filtering of multichannel surface electromyogram signals during low force contractions.
Zhou P; Suresh NL; Lowery MM; Rymer WZ
IEEE Trans Biomed Eng; 2009 Jul; 56(7):1871-9. PubMed ID: 19342344
[TBL] [Abstract][Full Text] [Related]
4. Rectus femoris surface myoelectric signal cross-talk during static contractions.
Byrne CA; Lyons GM; Donnelly AE; O'Keeffe DT; Hermens H; Nene A
J Electromyogr Kinesiol; 2005 Dec; 15(6):564-75. PubMed ID: 15946862
[TBL] [Abstract][Full Text] [Related]
5. Calibration of EMG to force for knee muscles is applicable with submaximal voluntary contractions.
Doorenbosch CA; Joosten A; Harlaar J
J Electromyogr Kinesiol; 2005 Aug; 15(4):429-35. PubMed ID: 15811613
[TBL] [Abstract][Full Text] [Related]
6. Detection of onset and termination of muscle activity in surface electromyograms.
Abbink JH; van der Bilt A; van der Glas HW
J Oral Rehabil; 1998 May; 25(5):365-9. PubMed ID: 9639161
[TBL] [Abstract][Full Text] [Related]
7. Application of Empirical Mode Decomposition Combined With Notch Filtering for Interpretation of Surface Electromyograms During Functional Electrical Stimulation.
Pilkar R; Yarossi M; Ramanujam A; Rajagopalan V; Bayram MB; Mitchell M; Canton S; Forrest G
IEEE Trans Neural Syst Rehabil Eng; 2017 Aug; 25(8):1268-1277. PubMed ID: 27834646
[TBL] [Abstract][Full Text] [Related]
8. Probability density of the surface electromyogram and its relation to amplitude detectors.
Clancy EA; Hogan N
IEEE Trans Biomed Eng; 1999 Jun; 46(6):730-9. PubMed ID: 10356879
[TBL] [Abstract][Full Text] [Related]
9. Classification of surface EMG signal with fractal dimension.
Hu X; Wang ZZ; Ren XM
J Zhejiang Univ Sci B; 2005 Aug; 6(8):844-8. PubMed ID: 16052721
[TBL] [Abstract][Full Text] [Related]
10. Optimal Estimation of EMG Standard Deviation (EMG σ ) in Additive Measurement Noise: Model-Based Derivations and Their Implications.
Wang H; Rajotte KJ; Wang H; Dai C; Zhu Z; Bhuiyan M; Huang X; Clancy EA
IEEE Trans Neural Syst Rehabil Eng; 2019 Dec; 27(12):2328-2335. PubMed ID: 31689197
[TBL] [Abstract][Full Text] [Related]
11. The effect of muscle contraction level on the cervical vestibular evoked myogenic potential (cVEMP): usefulness of amplitude normalization.
Bogle JM; Zapala DA; Criter R; Burkard R
J Am Acad Audiol; 2013 Feb; 24(2):77-88. PubMed ID: 23357802
[TBL] [Abstract][Full Text] [Related]
12. Adaptive whitening of the electromyogram to improve amplitude estimation.
Clancy EA; Farry KA
IEEE Trans Biomed Eng; 2000 Jun; 47(6):709-19. PubMed ID: 10833845
[TBL] [Abstract][Full Text] [Related]
13. Estimation and application of EMG amplitude during dynamic contractions.
Clancy EA; Bouchard S; Rancourt D
IEEE Eng Med Biol Mag; 2001; 20(6):47-54. PubMed ID: 11838258
[TBL] [Abstract][Full Text] [Related]
14. Relationships between surface-detected EMG signals and motor unit activation.
Suzuki H; Conwit RA; Stashuk D; Santarsiero L; Metter EJ
Med Sci Sports Exerc; 2002 Sep; 34(9):1509-17. PubMed ID: 12218747
[TBL] [Abstract][Full Text] [Related]
15. Influence of advanced electromyogram (EMG) amplitude processors on EMG-to-torque estimation during constant-posture, force-varying contractions.
Clancy EA; Bida O; Rancourt D
J Biomech; 2006; 39(14):2690-8. PubMed ID: 16243341
[TBL] [Abstract][Full Text] [Related]
16. Influence of smoothing window length on electromyogram amplitude estimates.
St-Amant Y; Rancourt D; Clancy EA
IEEE Trans Biomed Eng; 1998 Jun; 45(6):795-800. PubMed ID: 9609944
[TBL] [Abstract][Full Text] [Related]
17. Influence of Joint Angle on EMG-Torque Model During Constant-Posture, Torque-Varying Contractions.
Liu P; Liu L; Clancy EA
IEEE Trans Neural Syst Rehabil Eng; 2015 Nov; 23(6):1039-46. PubMed ID: 25706722
[TBL] [Abstract][Full Text] [Related]
18. Teager-Kaiser Operator improves the accuracy of EMG onset detection independent of signal-to-noise ratio.
Solnik S; DeVita P; Rider P; Long B; Hortobágyi T
Acta Bioeng Biomech; 2008; 10(2):65-8. PubMed ID: 19032000
[TBL] [Abstract][Full Text] [Related]
19. Assessing the influence of SNR and pre-processing filter bandwidth on the extraction of different muscle co-activation indexes from surface EMG data.
Rinaldi M; D'Anna C; Schmid M; Conforto S
J Electromyogr Kinesiol; 2018 Dec; 43():184-192. PubMed ID: 30384220
[TBL] [Abstract][Full Text] [Related]
20. Antagonist muscle coactivation during isokinetic knee extension.
Aagaard P; Simonsen EB; Andersen JL; Magnusson SP; Bojsen-Møller F; Dyhre-Poulsen P
Scand J Med Sci Sports; 2000 Apr; 10(2):58-67. PubMed ID: 10755275
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]