167 related articles for article (PubMed ID: 21096651)
1. Evaluation of motor unit placement algorithms for EMG simulation.
Hamilton-Wright A; Navallas J; Stashuk DW
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():4874-7. PubMed ID: 21096651
[TBL] [Abstract][Full Text] [Related]
2. Application of higher order statistics techniques to EMG signals to characterize the motor unit action potential.
Shahid S; Walker J; Lyons GM; Byrne CA; Nene AV
IEEE Trans Biomed Eng; 2005 Jul; 52(7):1195-209. PubMed ID: 16041983
[TBL] [Abstract][Full Text] [Related]
3. Can standard surface EMG processing parameters be used to estimate motor unit global firing rate?
Zhou P; Rymer WZ
J Neural Eng; 2004 Jun; 1(2):99-110. PubMed ID: 15876628
[TBL] [Abstract][Full Text] [Related]
4. Simulations of motor unit number estimation techniques.
Major LA; Jones KE
J Neural Eng; 2005 Jun; 2(2):17-34. PubMed ID: 15928409
[TBL] [Abstract][Full Text] [Related]
5. Behaviour of a surface EMG based measure for motor control: motor unit action potential rate in relation to force and muscle fatigue.
Kallenberg LA; Hermens HJ
J Electromyogr Kinesiol; 2008 Oct; 18(5):780-8. PubMed ID: 17466536
[TBL] [Abstract][Full Text] [Related]
6. The use of the wavelet transform in EMG M-wave pattern classification.
Salvador J; de Bruin H
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2304-7. PubMed ID: 17946951
[TBL] [Abstract][Full Text] [Related]
7. Wavelet analysis for Support Vector Machine classification of motor unit action potentials.
Dobrowolski AP; Wierzbowski M; Tomczykiewicz K
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():4632-5. PubMed ID: 21096234
[TBL] [Abstract][Full Text] [Related]
8. Validation of motor unit potential trains using motor unit firing pattern information.
Parsaei H; Nezhad FJ; Stashuk DW; Hamilton-Wright A
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():974-7. PubMed ID: 19963738
[TBL] [Abstract][Full Text] [Related]
9. Testing of motor unit synchronization model for localized muscle fatigue.
Naik GR; Kumar DK; Yadav V; Wheeler K; Arjunan S
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():360-3. PubMed ID: 19963458
[TBL] [Abstract][Full Text] [Related]
10. Motor unit placement in a realistic muscle cross section model: performance of a new algorithm and effects of muscle architecture on surface EMG power spectral components.
Miralles F
Biomed Phys Eng Express; 2023 Jul; 9(4):. PubMed ID: 37257432
[No Abstract] [Full Text] [Related]
11. EMG signal decomposition using motor unit potential train validity.
Parsaei H; Stashuk DW
IEEE Trans Neural Syst Rehabil Eng; 2013 Mar; 21(2):265-74. PubMed ID: 23033332
[TBL] [Abstract][Full Text] [Related]
12. A new optical flow model for motor unit conduction velocity estimation in multichannel surface EMG.
Potočnik B; Holobar A
Comput Biol Med; 2017 Apr; 83():59-68. PubMed ID: 28237905
[TBL] [Abstract][Full Text] [Related]
13. Insight into the motor unit activation and structure properties gained from EMG signal analysis.
Zalewska E
Clin Neurophysiol; 2009 Mar; 120(3):449-50. PubMed ID: 19243991
[No Abstract] [Full Text] [Related]
14. Modeling of muscle motor unit innervation process correlation and common drive.
Jiang N; Parker PA; Englehart KB
IEEE Trans Biomed Eng; 2006 Aug; 53(8):1605-14. PubMed ID: 16916095
[TBL] [Abstract][Full Text] [Related]
15. Effect of cancellation on triggered averaging used to determine synchronization between motor unit discharge in separate muscles.
Poulsen P; Svendsen JH; Tucker K; Graven-Nielsen T; Hodges PW
J Neurosci Methods; 2009 Aug; 182(1):1-5. PubMed ID: 19406151
[TBL] [Abstract][Full Text] [Related]
16. A genetic algorithm for the resolution of superimposed motor unit action potentials.
Florestal JR; Mathieu PA; Plamondon R
IEEE Trans Biomed Eng; 2007 Dec; 54(12):2163-71. PubMed ID: 18075032
[TBL] [Abstract][Full Text] [Related]
17. Inter-discharge interval distribution of motor unit firing patterns with detection errors.
Navallas J; Rodriguez-Falces J; Malanda A
IEEE Trans Neural Syst Rehabil Eng; 2015 Mar; 23(2):297-307. PubMed ID: 25343763
[TBL] [Abstract][Full Text] [Related]
18. A fast and reliable technique for muscle activity detection from surface EMG signals.
Merlo A; Farina D; Merletti R
IEEE Trans Biomed Eng; 2003 Mar; 50(3):316-23. PubMed ID: 12669988
[TBL] [Abstract][Full Text] [Related]
19. A simulation-based analysis of motor unit number index (MUNIX) technique using motoneuron pool and surface electromyogram models.
Li X; Rymer WZ; Zhou P
IEEE Trans Neural Syst Rehabil Eng; 2012 May; 20(3):297-304. PubMed ID: 22514208
[TBL] [Abstract][Full Text] [Related]
20. Motor unit synchronization during fatigue: a novel quantification method.
Grönlund C; Holtermann A; Roeleveld K; Karlsson JS
J Electromyogr Kinesiol; 2009 Apr; 19(2):242-51. PubMed ID: 18036832
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]