Valoración de la estabilidad del tronco mediante un dispositivo inercial (Trunk stability assesment using an inercial device)
DOI:
https://doi.org/10.47197/retos.v0i33.55126Palavras-chave:
Estabilidad del tronco, acelerometría, protocolo de valoración, fuerza (Core stability, accelerometry, protocol assesment, strength)Resumo
El propósito de esta investigación fué realizar una valoración de la fuerza del tronco utilizando protocolos descritos en la literatura mediante acelerometria, utilizando los cálculos de CV y entropía ApEn. Además como objetivo secundario comprobar las diferencias en las variables CV y ApEn en función del tipo de ejercicio. Catorce sujetos varones los cuales formaban parte de un equipo de fútbol que militaba en Tercera División (edad: 23,4 ± 2,73; altura: 1,75 ± 0,05 cm.; peso: 74,3 ± 4,19 kg.; IMC: 21,51 ± 3,47) fueron registrados mediante un dispositivo inercial ubicado en el centro de masa (L3) y se analizaron sus señales acelerometricas mediante dos estadísticos: el coeficiente de variación (CV) y la entropía aproximada (ApEn). Se encontraron diferencias significativas en el valor de CV y ApEn en todos los ejercicios excepto entre PP y PL en ApEn (p<0.05). Se distribuyeron los datos en valores bajos, medios y altos de CV y ApEn de los participantes. Se propone una valoración de la estabilidad-fuerza del tronco mediante un dispositivo inercial o multisensores como un método práctico para el entrenador/preparador físico. Y la aplicación de los estadísticos CV y ApEn para el análisis de señales en ejercicios de estabilidad.
Abstract. The purpose of this research was to perform a trunk strength assessment of protocols described in the literature using accelerometry, by means of CV and ApEn entropy calculations. In addition, to check differences in CV and ApEn variables depending on the type of exercise, as a secondary objective. Fourteen male subjects who were part of a football team participating in the Third Division (age: 23.4 2.73, height: 1.75 0.05 cm, weight: 74.3 4.19 kg, IMC : 21,51 3,47) were recorded by means of an inertial device located in the center of mass (L3) and their accelerometric signals were analyzed by two statistics: coefficient of variation (CV) and approximate entropy (ApEn). Significant differences were found in the value of CV and ApEn in all exercises except between PP and PL in ApEn (p <0.05). The data were distributed in low, medium and high values of CV and ApEn of the participants. A trunk strength-stability assessment using an inertial device or multisensors is proposed as a practical method for trainers. Also, the application of the statistics CV and ApEn for the analysis of signals in stability exercises is recommended.
Referências
Akenhead, R., & Nassis, G. P. (2016). Training Load and Player Monitoring in High-Level Football: Current Practice and Perceptions. International Journal of Sports Physiology and Performance, 11(5), 587-593. https://doi.org/10.1123/ijspp.2015-0331
Armstrong, W. J., McGregor, S. J., Yaggie, J. A., Bailey, J. J., Johnson, S. M., Goin, A. M., & Kelly, S. R. (2010). Reliability of mechanomyography and triaxial accelerometry in the assessment of balance. Journal of Electromyography and Kinesiology, 20(4), 726-731. https://doi.org/10.1016/j.jelekin.2010.02.002
Atkinson, G., & Nevill, A. M. (1998). Statistical Methods For Assessing Measurement Error (Reliability) in Variables Relevant to Sports Medicine: Sports Medicine, 26(4), 217-238. https://doi.org/10.2165/00007256-199826040-00002
Axler, C. T., & McGill, S. M. (1997). Low back loads over a variety of abdominal exercises: searching for the safest abdominal challenge. Medicine and Science in Sports and Exercise, 29(6), 804-811.
Barbado, D., Lopez-Valenciano, A., Juan-Recio, C., Montero-Carretero, C., Dieën, J. H. van, & Vera-Garcia, F. J. (2016). Trunk Stability, Trunk Strength and Sport Performance Level in Judo. PLOS ONE, 11(5), e0156267. https://doi.org/10.1371/journal.pone.0156267
Bliss, L. S., & Teeple, P. (2005). Core stability: the centerpiece of any training program. Current sports medicine reports, 4(3), 179–183.
Boyd, L. J., Ball, K., & Aughey, R. J. (2013). Quantifying External Load in Australian Football Matches and Training Using Accelerometers. International Journal of Sports Physiology and Performance, 8(1), 44-51.
Buchheit, M., & Simpson, B. M. (2016). Player Tracking Technology: Half-Full or Half-Empty Glass? International Journal of Sports Physiology and Performance, 1-23. https://doi.org/10.1123/ijspp.2016-0499
Busa, M. A., Jones, S. L., Hamill, J., & van Emmerik, R. E. A. (2016). Multiscale entropy identifies differences in complexity in postural control in women with multiple sclerosis. Gait & Posture, 45, 7-11. https://doi.org/10.1016/j.gaitpost.2015.12.007
Busa, M. A., & van Emmerik, R. E. A. (2016). Multiscale entropy: A tool for understanding the complexity of postural control. Journal of Sport and Health Science, 5(1), 44-51. https://doi.org/10.1016/j.jshs.2016.01.018
Chini, G., Ranavolo, A., Draicchio, F., Casali, C., Conte, C., Martino, G., … Serrao, M. (2017). Local Stability of the Trunk in Patients with Degenerative Cerebellar Ataxia During Walking. The Cerebellum, 16(1), 26-33. https://doi.org/10.1007/s12311-016-0760-6
Dincer, I., & Cengel, Y. A. (2001). Energy, entropy and exergy concepts and their roles in thermal engineering. Entropy, 3(3), 116–149.
Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics. SAGE.
Fino, P. C. (2016). A preliminary study of longitudinal differences in local dynamic stability between recently concussed and healthy athletes during single and dual-task gait. Journal of Biomechanics, 49(9), 1983-1988. https://doi.org/10.1016/j.jbiomech.2016.05.004
Gabbett, T. J. (2015). Relationship between accelerometer load, collisions, and repeated high-intensity effort activity in rugby league players. Journal of Strength and Conditioning Research, 29(12), 3424-3431.
Ghasemzadeh, H., Jafari, R., & Prabhakaran, B. (2010). A Body Sensor Network With Electromyogram and Inertial Sensors: Multimodal Interpretation of Muscular Activities. IEEE Transactions on Information Technology in Biomedicine, 14(2), 198-206. https://doi.org/10.1109/TITB.2009.2035050
Giroux, C., Rabita, G., Chollet, D., & Guilhem, G. (2014). What is the Best Method for Assessing Lower Limb Force-Velocity Relationship? International Journal of Sports Medicine, 36(2), 143-149. https://doi.org/10.1055/s-0034-1385886
Ham, Y. W., Kim, D. M., Baek, J. Y., Lee, D. C., & Sung, P. S. (2010). Kinematic analyses of trunk stability in one leg standing for individuals with recurrent low back pain. Journal of Electromyography and Kinesiology, 20(6), 1134-1140. https://doi.org/10.1016/j.jelekin.2010.05.011
Hopkins, W. G., Marshall, S. W., Batterham, A. M., & Hanin, J. (2009). Progressive Statistics for Studies in Sports Medicine and Exercise Science: Medicine & Science in Sports & Exercise, 41(1), 3-13. https://doi.org/10.1249/MSS.0b013e31818cb278
Leetun, D. T., Ireland, M. L., Willson, J. D., Ballantyne, B. T., & Davis, I. M. (2004). Core Stability Measures as Risk Factors for Lower Extremity Injury in Athletes: Medicine & Science in Sports & Exercise, 36(6), 926-934. https://doi.org/10.1249/01.MSS.0000128145.75199.C3
Lehman, G. J., Hoda, W., & Oliver, S. (2005). Trunk muscle activity during bridging exercises on and off a Swissball. Chiropractic & osteopathy, 13(1), 1.
López-Miñarro, P. Á. L. (2009). Análisis de ejercicios de musculación para el tronco. Trabajo lumbo-abdominal. Ejercicios desaconsejados y criterios de corrección. Recuperado a partir de https://digitum.um.es/jspui/bitstream/10201/5245/1/fortalecimiento%20de%20la%20musculatura%20del%20tronco.pdf
McGill, S. M. (1998). Low back exercises: evidence for improving exercise regimens. Physical therapy, 78(7), 754–765.
McGregor, S. J., Armstrong, W. J., Yaggie, J. A., Bollt, E. M., Parshad, R., Bailey, J. J., … Kelly, S. R. (2011). Lower extremity fatigue increases complexity of postural control during a single-legged stance. Journal of NeuroEngineering and Rehabilitation, 8(1), 43. https://doi.org/10.1186/1743-0003-8-43
Milligan, A., Scurr, J., Mills, C., & Wood, L. (2011). An investigation into the within and between participant variance in three-dimensional breast kinematic data during a 5 km run. En ISBS-Conference Proceedings Archive (Vol. 1). Recuperado a partir de https://ojs.ub.uni-konstanz.de/cpa/article/view/4890
Peña, G., Elvar, H., Ramón, J., Moral, S., Isidro Donate, F., & Mata Ordoñez, F. (2012). Revisión de los Métodos de Valoración de la Estabilidad Central (Core). PubliCE Standard. Recuperado a partir de https://g-se.com/es/evaluacion-deportiva/articulos/revision-de-los-metodos-de-valoracion-de-la-estabilidad-central-core-1426
Pincus, S. M. (1991). Approximate entropy as a measure of system complexity. Proceedings of the National Academy of Sciences, 88(6), 2297–2301.
Reeves, N. P., Everding, V. Q., Cholewicki, J., & Morrisette, D. C. (2006). The effects of trunk stiffness on postural control during unstable seated balance. Experimental Brain Research, 174(4), 694-700. https://doi.org/10.1007/s00221-006-0516-5
Rodríguez, P. L. (2000). La higiene postural en Educación Física. Propuesta de aplicación de un programa escolar. Educación Física y salud (pp. 255-286). Presentado en Actas del II Congreso Internacional de Educación Física.
Vera-García, F. J., Barbado, D., Moreno-Pérez, V., Hernández-Sánchez, S., Juan-Recio, C., & Elvira, J. L. L. (2015). Core stability: evaluación y criterios para su entrenamiento. Revista Andaluza de Medicina del Deporte, 8(3), 130-137. https://doi.org/10.1016/j.ramd.2014.02.005
Wang, J., Liu, Y., & Fan, W. (2006). Design and Calibration for a Smart Inertial Measurement Unit for Autonomous Helicopters Using MEMS Sensors (pp. 956-961). IEEE. https://doi.org/10.1109/ICMA.2006.257754
Weir, A., Darby, J., Inklaar, H., Koes, B., Bakker, E., & Tol, J. L. (2010). Core Stability: Inter- and Intraobserver Reliability of 6 Clinical Tests: Clinical Journal of Sport Medicine, 20(1), 34-38. https://doi.org/10.1097/JSM.0b013e3181cae924
Zhu, Y. (2017). Design and Validation of a Low-Cost Portable Device to Quantify Postural Stability. Sensors, 17(3), 619. https://doi.org/10.3390/s17030619
Downloads
Publicado
Como Citar
Edição
Secção
Licença
Autores que publicam nesta revista concordam com os seguintes termos:
- Autores mantém os direitos autorais e assegurar a revista o direito de ser a primeira publicação da obra como licenciado sob a Licença Creative Commons Attribution que permite que outros para compartilhar o trabalho com o crédito de autoria do trabalho e publicação inicial nesta revista.
- Os autores podem estabelecer acordos adicionais separados para a distribuição não-exclusiva da versão do trabalho publicado na revista (por exemplo, a um repositório institucional, ou publicá-lo em um livro), com reconhecimento de autoria e publicação inicial nesta revista.
- É permitido e os autores são incentivados a divulgar o seu trabalho por via electrónica (por exemplo, em repositórios institucionais ou no seu próprio site), antes e durante o processo de envio, pois pode gerar alterações produtivas, bem como a uma intimação mais Cedo e mais do trabalho publicado (Veja O Efeito do Acesso Livre) (em Inglês).
Esta revista é a "política de acesso aberto" de Boai (1), apoiando os direitos dos usuários de "ler, baixar, copiar, distribuir, imprimir, pesquisar, ou link para os textos completos dos artigos". (1) http://legacy.earlham.edu/~peters/fos/boaifaq.htm#openaccess