Effects of detection system parameters on cross-correlations between MUAPs generated from parallel and inclined muscle fibres
References
- 1. Dimitrova NA, Dimitrov AG, Dimitrov GV, et al. Calculation of extracellular potentials produced by an inclined muscle fibre at a rectangular plate electrode. Med Eng Phys. 1999:21(8):583-588. https://doi.org/10.1016/s1350-4533(99)00087-910.1016/S1350-4533(99)00087-9
- 2. Mesin L, Farina D. Simulation of surface EMG signals generated by muscle tissues with inhomogeneity due to fiber pinnation. IEEE Trans Biomed Eng. 2004:51(9):1521-1529. https://doi.org/10.1109/TBME.2004.82755110.1109/TBME.2004.827551
- 3. Teklemariam A, Hodson-Tole EF, Reeves ND, Costen NP, Cooper G, et al. A finite element model approach to determine the influence of electrode design and muscle architecture on myoelectric signal properties. PLoS-ONE. 2016:11(2):1-18. https://doi.org/10.1371/journal.pone.014827510.1371/journal.pone.0148275475753726886908
- 4. Farina D, Cescon C, Merletti R, et al. Influence of anatomical, physical, and detection-system parameters on surface EMG. Biol Cybern. 2002:86(6):445-456. https://doi.org/10.1007/s00422-002-0309-210.1007/s00422-002-0309-212111273
- 5. Farina D, Merletti R, Enoka RM, et al. The extraction of neural strategies from the surface EMG. J Appl Physiol. 2004:96(4):1486-1495. https://doi.org/10.1152/japplphysiol.01070.200310.1152/japplphysiol.01070.200315016793
- 6. Messaoudi N, Bekka RE. Simulated surface EMG signal as a function of physiological and non-physiological parameters: Analyze and interpretation. 2015: The Fourth International Conference on Electrical Engineering, ICEE2015, Boumerdes, Algeria, Proceedings, IEEE Xplore. https://doi.org/10.1109/INTEE.2015.741680110.1109/INTEE.2015.7416801
- 7. Fuglevand A, Winter DA, Patla AE, Stashuk D, et al. Detection of motor unit action potentials with surface electrodes: influence of electrode size and spacing. Biol Cybern. 1992:67(2):143-153. https://doi.org/10.1007/BF0020102110.1007/BF002010211627684
- 8. Farina D, Arendt-Nielsen L, Merletti R, Indino B, Graven-Nielsen T, et al. Selectivity of spatial filters for surface EMG detection from the tibialis anterior muscle. IEEE Trans Biomed Eng. 2003:50(3):354-364. https://doi.org/10.1109/TBME.2003.80883010.1109/TBME.2003.80883012669992
- 9. Zhou P, Suresh NL, Lowery MM, Rymer WZ, et al. Nonlinear spatial filtering of multichannel surface electromyogram signals during low force contractions. IEEE Trans Biomed Eng. 2009:56(7):1871-1879. https://doi.org/10.1109/TBME.2009.201773610.1109/TBME.2009.201773619342344
- 10. Östlund N, Yu J, Roeleveld K, Karlsson JS, et al. Adaptive spatial filtering of multichannel surface electromyogram signals. Med Biol Eng Comput. 2004:42(6):825-831. https://doi.org/10.1007/BF0234521710.1007/BF0234521715587475
- 11. Messaoudi N, Bekka RE, Belkacem S, et al. Cross-Correlation coefficient as a means for estimating the effect of MVC level according to the fibres inclination’, The Fifth International Conference on Electrical Engineering. 2017: ICEE2017, Boumerdes, Algeria, Proceedings, IEEE Xplore. https://doi.org/10.1109/ICEE-B.2017.819216610.1109/ICEE-B.2017.8192166
- 12. Beck TW, Housh TJ, Cramer JT, Weir JP, et al. The effects of inter-electrode distance over the innervation zone and normalization on the electromyographic amplitude and mean power frequency versus concentric, eccentric, and isometric torque relationships for the vastus lateralis muscle. J Electromyogr Kinesiol. 2009:19(2): 219-231. https://doi.org/10.1016/j.jelekin.2007.07.00710.1016/j.jelekin.2007.07.00717884581
- 13. Messaoudi N, Bekka RE. From single fibre action potential to surface electromyographic signal: A simulation study. Third International Conference, IWBBIO 2015, Granada, Spain, Proceedings, Part I, LNCS 9043, April 15-17, 2015:315–324. https://doi.org/10.1007/978-3-319-16483-0_3210.1007/978-3-319-16483-0_32
- 14. Farina D, Mesin L, Simone M, Merletti R, et al. A surface EMG generation model with multilayer cylindrical description of the volume conductor. IEEE Trans Biomed Eng. 2004: 1(3): 415-426. https://doi.org/10.1109/TBME.2003.82099810.1109/TBME.2003.82099815000373
- 15. Fuglevand AJ, Winter DA, Patla AE, et al. Models of recruitment and rate coding organisation in motor-unit pools. J Neurophysiol. 1993:70(6):2470-2488. https://doi.org/10.1152/jn.1993.70.6.247010.1152/jn.1993.70.6.24708120594
- 16. Rosenfalck P. Intra and extracellular fields of active nerve and muscle fibres: A physico-mathematical analysis of different models. Acta Physiol Scand Suppl. 1969:321:1-168.
- 17. Messaoudi N, Bekka RE, Ravier P, Harba R, et al. Assessment of the non-Gaussianity and non-linearity levels of simulated sEMG signals on stationary segments. J Electromyog Kinesiol. 2017:32(1): 70-82. https://doi.org/10.1016/j.jelekin.2016.12.00610.1016/j.jelekin.2016.12.00628061379
- 18. Keenan KG, Valero-Cuevas FJ. Experimentally valid predictions of muscle force and EMG in models of motor-unit function are most sensitive to neural properties. J. Neurophysiol. 2007:98(3):1581-1590. https://doi.org/10.1152/jn.00577.200710.1152/jn.00577.200717615125
- 19. Keenan KG, Farina D, Meyer FG, Merletti R, Enoka RM, et al. Sensitivity of the cross-correlation between simulated surface EMGs for two muscles to detect motor unit synchronization. J App Physiol. 2007:102:1193-1201. https://doi.org/10.1152/japplphysiol.00491.200610.1152/japplphysiol.00491.200617068220
- 20. Farina D, Merletti R. A novel approach for precise simulation of the EMG signal detected by surface electrodes. IEEE Trans Biomed Eng. 2001:48(6):637-646. https://doi.org/10.1109/10.92378210.1109/10.92378211396594
- 21. Messaoudi N, Bekka RE, Belkacem S, et al. Classification of the systems used in surface electromyographic signal detection according to the degree of isotropy. Adv Biomed Eng. 2018:7(1):107-116. https://doi.org/10.14326/abe.7.10710.14326/abe.7.107
- 22. Barbero M, Rainoldi A, Merletti R, et al. Atlas of muscle innervation zones: understanding surface EMG and its applications. Springer, Italy 2012. https://doi.org/10.1007/978-88-470-2463-210.1007/978-88-470-2463-2
- 23. Merletti R, Farina D. (edts) Surface Electromyography: physiology, engineering and applications, IEEE Press / J Wiley, USA, May 2016.10.1002/9781119082934
- 24. Afsharipour B, Soedirdjo S, Merletti R, et al. Two-dimensional surface EMG: The effects of electrode size, interelectrode distance and image truncation. Biomed Sig Process Control. 2019: 49(1):298-307. https://doi.org/10.1016/j.bspc.2018.12.00110.1016/j.bspc.2018.12.001
- 25. Messaoudi N, Bekka RE, Belkacem S, et al. Influence of fibers inclination on the degree of gaussianity of simulated surface EMG signals. ICBBT 2020, May 22–24, 2020, Xi’an, China. https://doi.org/10.1145/3405758.340578110.1145/3405758.3405781
Language: English
Page range: 87 - 97
Published on: Mar 18, 2021
Published by: Polish Society of Medical Physics
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© 2021 Noureddine Messaoudi, Raïs El’hadi Bekka, Samia Belkacem, published by Polish Society of Medical Physics
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