Electromiografía de superficie en movimientos balísticosun análisis metodológico comparativo en atletas de taekwondo

  1. Mauricio Barramuño Medina
  2. Pablo Valdés-Badilla
  3. Fernando Fonseca Oyarzún
  4. Germán Gálvez-García
Revista:
Retos: nuevas tendencias en educación física, deporte y recreación

ISSN: 1579-1726 1988-2041

Año de publicación: 2022

Número: 44

Páginas: 146-154

Tipo: Artículo

Otras publicaciones en: Retos: nuevas tendencias en educación física, deporte y recreación

Resumen

Los métodos de procesamiento de señales de electromiografía de superficie (sEMG) utilizados para evaluar los deportes de combate son heterogéneos. Esta investigación tiene como objetivo comparar el pico de electromiografía (pico EMG) en atletas de taekwondo con cinco métodos de procesamiento. En segundo lugar, se compararon tanto el coeficiente de variación (CV) como el porcentaje de ruido con respecto al pico EMG (NPRP). Se consultó el registro sEMG de ocho músculos de las piernas de dieciséis atletas (12 hombres y 4 mujeres, edades 20,31+4,1). Los métodos de procesamiento fueron: a) Suavizado 1, b) Suavizado 2, c) Raíz cuadrada media (RMS) 1, d) RMS 2 y e) Descomposición en modo empírico (EMD). Los resultados indican que el pico de EMG difiere entre el suavizado vs. EMD; Suavizado 2 vs. a EMD; Suavizado 1 vs. a RMS 2; Suavizado 2 vs. a RMS 2; Suavizado 1 vs. a RMS 1; RMS 1 vs. a RMS 2; RMS 1 vs. a EMD y RMS 2 vs. a EMD. Para todos los casos p <.05 en siete de los ocho músculos estudiados. No se encontraron diferencias para el CV. El EMD NPRP fue menor que los otros métodos analizados (p <.05). En conclusión, existen diferencias entre los métodos estudiados y deben tenerse en cuenta al interpretar el pico EMG. El EMD parece ser una alternativa útil para reducir el ruido y el movimiento de artefactos.

Información de financiación

This research was supported by FONDECYT grant (1200368) from ANID Chile.

Referencias bibliográficas

  • Allen, R. L., & Mills, D. W. (2004). Signal analysis : time, frequency, scale, and structure. IEEE Press.
  • Andrade, A. O., Nasuto, S., Kyberd, P., Sweeney-reed, C. M., & Kanijn, F. R. Van. (2006). EMG signal filtering based on Empirical Mode Decomposition. 1, 44–55. https://doi.org/10.1016/j.bspc.2006.03.003
  • Andrade, A. O., Soares, A. B., Nasuto, S. J., & Kyberd, P. J. (2012). EMG Decomposition and Artefact Removal. 1–26. https://doi.org/http://dx.doi.org/10.5772/50819
  • Antworten, A. Von. (1997). Standards for reporting EMG data. Journal of Electromyography and Kinesiology, 7(2), I–II. https://doi.org/10.1016/S1050-6411(97)90001-8
  • Asociación Médica Mundial. (2000). Declaración de Helsinki de la AMM – Principios éticos para las investigaciones médicas en seres humanos – WMA – The World Medical Association. Asociación Médica Mundial. https://www.wma.net/es/policies-post/declaracion-de-helsinki-de-la-amm-principios-eticos-para-las-investigaciones-medicas-en-seres-humanos/
  • Bartlett, R. (2007). Introduction to Sports Biomechanics. Analyzing human movement patterns, 2nd edition. In Sports Biomechanics. https://doi.org/10.4324/9780203476161
  • Bo, K., Forsman, M., Hansson, G.-åke, & Erik, S. (2013). Assessment of time patterns of activity and rest in full-shift recordings of trapezius muscle activity – Effects of the data processing procedure. Journal of Electromyography and Kinesiology, 23(3), 540–547. https://doi.org/10.1016/j.jelekin.2012.12.004
  • Castro-Gatrido, N., Valderas-Maldonado, C., Herrera-Valenzuela, T., da Silva, J. F., Guzmán-Muñoz, E., Vásquez-Gómez, J., Branco, B. M., Zapata-Bastías, J., López-Fuenzalida, A., & Valdés-Badilla, P. (2020). Effects of post-activation potentiation exercises on kicking frequency, fatigue rate and jump performance in taekwondo athletes: A case study. Retos, 83, 679–683. https://doi.org/10.47197/retos.v38i38.76755
  • Chowdhury, R. H., Reaz, M. B. I., Alauddin, M., Mohd, B., Bakar, A. A. A., Chellappan, K., & Chang, T. G. (2013). Surface Electromyography Signal Processing and Classification Techniques. 12431–12466. https://doi.org/10.3390/s130912431
  • De Luca, C. J. (1997). The Use of Surface Electromyography in Biomechanics. Journal of Applied Biomechanics, 13(2), 135–163. https://doi.org/10.1123/jab.13.2.135
  • Hakonen, M., Piitulainen, H., & Visala, A. (2015). Biomedical Signal Processing and Control Current state of digital signal processing in myoelectric interfaces and related applications. Biomedical Signal Processing and Control, 18, 334–359. https://doi.org/10.1016/j.bspc.2015.02.009
  • Hermens, H. J., Freriks, B., Disselhorst-Klug, C., & Rau, G. (2000). Development of recommendations for SEMG sensors and sensor placement procedures. Journal of Electromyography and Kinesiology, 10(5), 361–374. https://doi.org/10.1016/S1050-6411(00)00027-4
  • Herrera-Valenzuela, T., Miccono-González, G., Fazekas-Molina, M., Astorga-Rojas, G., Valdés-Badilla, P., Ojeda-Aravena, A., & Franchini, E. (2020). Relación entre el Movement change in karate position Test con el rendimiento neuromuscular en atletas de karate: Un estudio piloto (Relationship between Movement change in karate position Test and neuromuscular performance in karate athletes: A pilot stud. Retos, 2041(39), 505–508. https://doi.org/10.47197/retos.v0i39.81409
  • Hibbs, A. E., Thompson, K. G., French, D. N., Hodgson, D., & Spears, I. R. (2011). Peak and average rectified EMG measures: Which method of data reduction should be used for assessing core training exercises? Journal of Electromyography and Kinesiology, 21(1), 102–111. https://doi.org/10.1016/j.jelekin.2010.06.001
  • Huang, N. E., Shen, Z., Long, S. R., Wu, M. C., Shih, H. H., Zheng, Q., Yen, N.-C., Tung, C. C., & Liu, H. H. (1998). The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 454(1971), 903–995. https://doi.org/10.1098/rspa.1998.0193
  • Jemili, H., Mejri, M. A., Sioud, R., Bouhlel, E., & Amri, M. (2017). Changements de l’activité musculaire lors des frappes guiaku-zuki et kiza-mawachi-guiri de karaté après entraînement spécifique chez des athlètes d’élite. Science and Sports, 32(2), 73–81. https://doi.org/10.1016/j.scispo.2016.11.002
  • Kazemi, M., De Ciantis, M. G., & Rahman, A. (2013). A profile of the Youth Olympic Taekwondo Athlete. The Journal of the Canadian Chiropractic Association, 57(4), 293–300. http://www.ncbi.nlm.nih.gov/pubmed/24302776%0Ahttp://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC3845466
  • Konrad, P. (2006). The ABC of EMG (Issue March).
  • Lee, B., & McGill, S. (2017). The effect of core training on distal limb performance during ballistic strike manoeuvres. Journal of Sports Sciences, 35(18), 1768–1780. https://doi.org/10.1080/02640414.2016.1236207
  • Lenetsky, S., Nates, R. J., Brughelli, M., & Harris, N. K. (2015). Is effective mass in combat sports punching above its weight ? Human Movement Science, 40, 89–97. https://doi.org/10.1016/j.humov.2014.11.016
  • Lienhard, K., Cabasson, A., Meste, O., & Colson, S. S. (2015). Comparison of sEMG processing methods during whole-body vibration exercise. Journal of Electromyography and Kinesiology, 25(6), 833–840. https://doi.org/10.1016/j.jelekin.2015.10.005
  • Luca, C. J. De. (1997). EMG and biomechanics. July 1993, 1–38. https://doi.org/10.1123/jab.13.2.135
  • Massó, N., Rey, F., Romero, D., Gual, G., Costa, L., & Germán, A. (2010). Surface electromyography applications in the sport Surface electromyography applications in the sport. May 2016.
  • Merletti, R., & Parker, P. (2004). Electromyography : physiology, engineering, and noninvasive applications. IEEE Press.
  • Pauk, J. (2014). Different techniques for EMG signal processing. Journal of Vibroengineering, 10 (4)(May), 571–576.
  • Pereira, L. G., Rodriguez Torres, A. F., Lavandero, G. C., Rendón Morales, P. A., Lagla Melendres, M. E., & Rosas Mora, M. E. (2021). Assessment of the feasibility of a combined training system in the development of explosive strength of the lower limbs of taekwondocas. Retos, 2041(39), 411–420. https://doi.org/10.47197/retos.v0i39.80748
  • Peterson, F., Kendall, E., & Geise, P. (2005). Muscle testing and function with posture and pain (4th ed.). Lippincott, Williams and Wilkins.
  • Quinzi, F., Bianchetti, A., Felici, F., & Sbriccoli, P. (2018). Higher torque and muscle fi bre conduction velocity of the Biceps Brachii in karate practitioners during isokinetic contractions. Journal of Electromyography and Kinesiology, 40(April), 81–87. https://doi.org/10.1016/j.jelekin.2018.04.005
  • Quinzi, F., Camomilla, V., Di Mario, A., Felici, F., & Sbriccoli, P. (2016). Repeated kicking actions in karate: Effect on technical execution in elite practitioners. International Journal of Sports Physiology and Performance, 11(3), 363–369. https://doi.org/10.1123/ijspp.2015-0162
  • Reaz, M. B. I., & Hussain, M. S. (2006). Techniques of EMG signal analysis : detection , processing , classification and applications. 8(1), 11–35. https://doi.org/10.1251/bpo115
  • Renshaw, D., Bice, M. R., Cassidy, C., Eldridge, J. A., & Powell, D. W. (2010). A Comparison of Three Computer-based Methods Used to Determine EMG Signal Amplitude. International Journal of Exercise Science, 3(1), 43–48. http://www.ncbi.nlm.nih.gov/pubmed/27182326%0Ahttp://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC4738945
  • Rinaldi, M., Nasr, Y., Atef, G., Bini, F., Varrecchia, T., Conte, C., Chini, G., Ranavolo, A., Draicchio, F., Pierelli, F., Amin, M., Marinozzi, F., Serrao, M., Rinaldi, M., Nasr, Y., Atef, G., Bini, F., Varrecchia, T., Conte, C., … Pierelli, F. (2018). Biomechanical characterization of the Junzuki karate punch : indexes of performance performance. European Journal of Sport Science, 0(0), 1–10. https://doi.org/10.1080/17461391.2018.1455899
  • Ruchika, & Dhingra, S. (1999). EMG Signal filtering of thumb based on EMD & EEMD Techniques. 314–323.
  • Sarmet, P. V., Goethel, M. F., & Gonçalves, M. (2016). Neuromuscular performance of Bandal Chagui: Comparison of subelite and elite taekwondo athletes. Journal of Electromyography and Kinesiology, 30, 55–65. https://doi.org/10.1016/j.jelekin.2016.06.001
  • Savithri, C. N., & Priya, E. (2019). Statistical Analysis of EMG-Based Features for Different Hand Movements. Smart Intelligent Computing and Applications, 71–79. https://doi.org/10.1007/978-981-13-1927-3_8
  • Shiavi, R. (2004). Electromyography. In R. Merletti & P. Parker (Eds.), IEEE Engineering in Medicine and Biology Magazine (Vol. 25, Issue 6). John Wiley & Sons, Inc. https://doi.org/10.1002/0471678384
  • Simões, H., Santos, P. M., Pereira, B., & Figueiredo, A. (2020). As Artes Marciais e os Desportos de Combate e o Bullying: uma revisão sistemática (Martial Arts and Combat Sports and the Bullying: a systematic review) (Las artes marciales y deportes de combate y el acoso escolar: una revisión sistemática). Retos, 2041(39), 835–843. https://doi.org/10.47197/retos.v0i39.77412
  • Thibordee, S., & Prasartwuth, O. (2014). Effectiveness of roundhouse kick in elite Taekwondo athletes. Journal of Electromyography and Kinesiology, 24(3), 353–358. https://doi.org/10.1016/j.jelekin.2014.02.002
  • Tsai, F.-H., Chu, I., Huang, C., Liang, J., Wu, J.-H., & Wu, W. (2017). Effects of Taping on Achilles Tendon Protection and Kendo Performance. Journal of Sport Rehabilitation, 27(2), 157–164. https://doi.org/10.1123/jsr.2016-0108
  • Tsolis, G., & Xenos, T. (2011). Signal Denoising Using Empirical Mode Decomposition and Higher Order Statistics. International Journal of Signal …, 4(2), 91–106.
  • Valdes-Badilla, P., Barramuño, M., Astudillo, R., Herrera-Valenzuela, T., Guzman-Muñoz, E., Perez-Gutierrez, M., Gutierrez-García, C., & Martinez, C. (2018). Differences in the electromyography activity of a roundhouse kick between novice and advanced taekwondo athletes. Ido Movement for Culture, 18, no. 1(January), 31–38. https://doi.org/10.14589/ido.18.1.5
  • Vieira, P., Moreira, S., Fagundes, M., & Gonçalves, M. (2016). Neuromuscular performance of Bandal Chagui : Comparison of subelite and elite taekwondo athletes. Journal of Electromyography and Kinesiology, 30, 55–65. https://doi.org/10.1016/j.jelekin.2016.06.001
  • Yang, X., Xu, C., Guan, H., Yang, B., & Wang, W. (2018). Study on De-noise of Electromyographic ( EMG ) Signal. DEStech Transactions on Computer Science and Engineering Iciti, Icitia, 835–841. https://doi.org/10.12783/dtcse/iciti2018/29189
  • Zorzi, E., Nardello, F., Fracasso, E., Franchi, S., Clauti, A., Cesari, P., & Zamparo, P. (2015). A kinematic and metabolic analysis of the first Lu of Tai Chi in experts and beginners. 1085(July), 1082–1085.