Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 141

1.

Exercise muscle fatigue detection system implementation via wireless surface electromyography and empirical mode decomposition.

Chang KM, Liu SH, Wang JJ, Cheng DC.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:1001-4. doi: 10.1109/EMBC.2013.6609672.

PMID:
24109859
2.

A wireless sEMG recording system and its application to muscle fatigue detection.

Chang KM, Liu SH, Wu XH.

Sensors (Basel). 2012;12(1):489-99. doi: 10.3390/s120100489. Epub 2012 Jan 5.

3.

The progression of muscle fatigue during exercise estimation with the aid of high-frequency component parameters derived from ensemble empirical mode decomposition.

Liu SH, Chang KM, Cheng DC.

IEEE J Biomed Health Inform. 2014 Sep;18(5):1647-58. doi: 10.1109/JBHI.2013.2286408.

PMID:
25192574
4.

Discrete wavelet transform analysis of surface electromyography for the fatigue assessment of neck and shoulder muscles.

Chowdhury SK, Nimbarte AD, Jaridi M, Creese RC.

J Electromyogr Kinesiol. 2013 Oct;23(5):995-1003. doi: 10.1016/j.jelekin.2013.05.001. Epub 2013 Jun 17.

PMID:
23787059
5.

The application of Hilbert-Huang transform in the analysis of muscle fatigue during cyclic dynamic contractions.

Srhoj-Egekher V, Cifrek M, Medved V.

Med Biol Eng Comput. 2011 Jun;49(6):659-69. doi: 10.1007/s11517-010-0718-7. Epub 2010 Dec 9.

PMID:
21153059
6.

Muscle fatigue monitoring using wavelet decomposition of surface EMG.

Xiao S, Leung SC.

Biomed Sci Instrum. 1997;34:147-52.

PMID:
9603029
7.

Using the discrete wavelet transform for time-frequency analysis of the surface EMG signal.

Constable R, Thornhill RJ.

Biomed Sci Instrum. 1993;29:121-7.

PMID:
8329582
8.

Assessment of muscle fatigue during biking.

Knaflitz M, Molinari F.

IEEE Trans Neural Syst Rehabil Eng. 2003 Mar;11(1):17-23.

PMID:
12797721
9.

Wavelet and short-time Fourier transform analysis of electromyography for detection of back muscle fatigue.

Sparto PJ, Parnianpour M, Barria EA, Jagadeesh JM.

IEEE Trans Rehabil Eng. 2000 Sep;8(3):433-6.

PMID:
11001525
10.

Simultaneous measurement of force and muscle fatigue using frequency-band wavelet analysis.

Soo Y, Sugi M, Yokoi H, Arai T, Du R, Ota J.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:5045-8. doi: 10.1109/IEMBS.2008.4650347.

PMID:
19163850
11.

Super wavelet for sEMG signal extraction during dynamic fatiguing contractions.

Al-Mulla MR, Sepulveda F.

J Med Syst. 2015 Jan;39(1):167. doi: 10.1007/s10916-014-0167-1. Epub 2014 Dec 3.

PMID:
25526707
12.

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.

PMID:
14960116
13.

EMG wavelet analysis of quadriceps muscle during repeated knee extension movement.

So RC, Ng JK, Lam RW, Lo CK, Ng GY.

Med Sci Sports Exerc. 2009 Apr;41(4):788-96. doi: 10.1249/MSS.0b013e31818cb4d0.

PMID:
19276855
14.

An alternative approach in muscle fatigue evaluation from the surface EMG signal.

Garcia MA, Catunda JM, Lemos T, Oliveira LF, Imbiriba LA, Souza MN.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:2419-22. doi: 10.1109/IEMBS.2010.5626163.

PMID:
21095697
15.

Detection of surface electromyography recording time interval without muscle fatigue effect for biceps brachii muscle during maximum voluntary contraction.

Soylu AR, Arpinar-Avsar P.

J Electromyogr Kinesiol. 2010 Aug;20(4):773-6. doi: 10.1016/j.jelekin.2010.02.006. Epub 2010 Mar 7.

PMID:
20211568
16.

Test-retest reliability of wavelet - and Fourier based EMG (instantaneous) median frequencies in the evaluation of back and hip muscle fatigue during isometric back extensions.

Coorevits P, Danneels L, Cambier D, Ramon H, Druyts H, Karlsson JS, De Moor G, Vanderstraeten G.

J Electromyogr Kinesiol. 2008 Oct;18(5):798-806. doi: 10.1016/j.jelekin.2007.01.007. Epub 2008 Apr 8.

PMID:
18396412
17.

EMG spectral indices and muscle power fatigue during dynamic contractions.

González-Izal M, Malanda A, Navarro-Amézqueta I, Gorostiaga EM, Mallor F, Ibañez J, Izquierdo M.

J Electromyogr Kinesiol. 2010 Apr;20(2):233-40. doi: 10.1016/j.jelekin.2009.03.011. Epub 2009 Apr 29.

PMID:
19406664
18.

sEMG wavelet-based indices predicts muscle power loss during dynamic contractions.

González-Izal M, Rodríguez-Carreño I, Malanda A, Mallor-Giménez F, Navarro-Amézqueta I, Gorostiaga EM, Izquierdo M.

J Electromyogr Kinesiol. 2010 Dec;20(6):1097-106. doi: 10.1016/j.jelekin.2010.05.010. Epub 2010 Jun 25.

PMID:
20579906
19.

The comparison of wavelet- and Fourier-based electromyographic indices of back muscle fatigue during dynamic contractions: validity and reliability results.

da Silva RA, Larivière C, Arsenault AB, Nadeau S, Plamondon A.

Electromyogr Clin Neurophysiol. 2008 Apr-May;48(3-4):147-62.

PMID:
18551835
20.

Analysis of the EMG Signal During Cyclic Movements Using Multicomponent AM-FM Decomposition.

Biagetti G, Crippa P, Curzi A, Orcioni S, Turchetti C.

IEEE J Biomed Health Inform. 2015 Sep;19(5):1672-81. doi: 10.1109/JBHI.2014.2356340. Epub 2014 Sep 8.

PMID:
25216489

Supplemental Content

Support Center