خوشه بندی دوندگان سالم بر اساس الگوی‌های کینماتیکی سه‌بعدی لگن حین دویدن با استفاده از روش سلسله مراتبی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری بیومکانیک ورزشی، دانشکده علوم ورزشی دانشگاه مازندران، بابلسر، ایران

2 دانشیار بیومکانیک ورزشی دانشکده علوم ورزشی دانشگاه مازندران، بابلسر، ایران

3 دانشیار دانشکده علوم ریاضی و آمار دانشگاه مازندران، بابلسر، ایران

چکیده

مقدمه و هدف: حرکت غیر نرمال لگن با آسیب­های مرتبط با دویدن همراه بوده است. این درحالی است که یافتن مقدار نرمال حرکت لگن به دلیل وجود گستردگی در دامنه­ی حرکت آن دشوار است. احتمالا دلیل این گستردگی­ها در دامنه­ی حرکتی لگن وجود گروه­های همگن افراد سالم بر اساس حرکت آن باشد. بنابراین اولین هدف پژوهش حاضر یافتن گروه­های همگن سالم بر اساس حرکت لگن بود. دومین هدف پژوهش حاضر بررسی تفاوت­ها در الگوی حرکتی و مولفه­های اصلی گروه­های همگن یافت شده، بود. روش شناسی: حرکت سه­بعدی لگن حین دویدن از 90 نفر دونده­ی سالم جوان ثبت و ضبط شد. برای کاهش بعد داده­ها از تحلیل مولفه­های اصلی استفاده شد. برای یافتن گروه­های حرکتی همگن از روش سلسه مراتبی استفاده شد. برای بررسی تفاوت الگو­های حرکتی لگن و مولفه­های اصلی بین گروه­های همگن یافت شده، از آزمون آنالیز واریانس (ANOVA) استفاده شد. یافته ها: بر اساس نتایج پژوهش حاضر دو گروه همگن 54 و 36 نفری در بین دوندگان وجود دارد. عمده­ی تفاوت­های بین دو گروه در حرکت لگن در صفحات سهمی و افقی بود. نتیجه گیری: پیدا کردن گروه­های همگن افراد سالم بر اساس حرکت لگن می­تواند در تفسیر درست حرکات لگن و همچنین ریشه­یابی آسیب­های مرتبط با دویدن و بازتوانی آن­ها مفید باشد.

کلیدواژه‌ها


عنوان مقاله [English]

Clustering healthy runner based on 3-D kinematics patterns of pelvic during running using hierarchical method

نویسندگان [English]

  • Davood Khezri 1
  • Mansour Eslami 2
  • Rouholah Yousefpour 3
1 phd student of university of mazandaran
2 faculty of university of Mazandaran
3 faculty of university of Mazandaran
چکیده [English]

Abnormal motions of pelvic were related to running injury. In other hand, according to high wideness in pelvic range of motion finding normal values of it is difficult. Probably, causes of this wideness is existence homogenous groups in healthy papulation based on limbs motion. Therefore, the first aim of this study was finding homogenous groups of healthy runners based on pelvic motions. Second was investigations of motion pattern and principle component difference in the groups. 3-D kinematics of pelvic of ninety healthy young runners were recorded during running. Principle component analysis was used for reduce in data dimension. Fore finding homogenous groups, hierarchical method was applied. Group’s difference were tested by ANOVA. Result showed that two homogenous groups with 36 and 54 subjects are exist all runners based on pelvic motions in sagittal and transverse plane. Finding healthy homogenous groups based motion and difference between groups is useful for correct interpretation of pelvic movement during running, rooting of running injury and their rehabilitation.

کلیدواژه‌ها [English]

  • Pelvic Motion
  • Principle Components Analysis
  • Hierarchical
  • Running
##Silder, A., Thelen, D. G., & Heiderscheit, B. C. (2010). Effects of prior hamstring strain injury on strength, flexibility, and running mechanics. Clinical Biomechanics, 25(7), 681-686.##Mortazavi, J., Zebardast, J., & Mirzashahi, B. (2015). Low back pain in athletes. Asian journal of sports medicine, 6(2), 1-8.##Schache, A. G., Blanch, P., Rath, D., Wrigley, T., & Bennell, K. (2002). Three-dimensional angular kinematics of the lumbar spine and pelvis during running. Human movement science, 21(2), 273-293.##Rold, J. F., & Rold, B. A. (1986). Pubic stress symphysitis in a female distance runner. The Physician and sportsmedicine, 14(6), 61-65.##Geraci, M. C., & Brown, W. (2005). Evidence-based treatment of hip and pelvic injuries in runners. Physical Medicine and Rehabilitation Clinics, 16(3), 711-747.##Koch, R. A., & Jackson, D. W. (1981). Pubic symphysitis in runners: a report of two cases. The American journal of sports medicine, 9(1), 62-63.##Preece, S. J., Mason, D., & Bramah, C. (2016). The coordinated movement of the spine and pelvis during running. Human movement science, 45, 110-118.##Ellis, R., Hing, W., & Reid, D. (2007). Iliotibial band friction syndrome—a systematic review. Manual therapy, 12(3), 200-208.##McCrory, J. L., Quick, N. E., Shapiro, R., Ballantyne, B. T., & Davis, I. (2007). The effect of a single treatment of the Protonics™ system on lower extremity kinematics during gait and the lateral step up exercise. Gait & posture, 25(4), 544-548.##Lessi, G. C., dos Santos, A. F., Batista, L. F., de Oliveira, G. C., & Serrao, F. V. (2017). Effects of fatigue on lower limb, pelvis and trunk kinematics and muscle activation: Gender differences. Journal of Electromyography and Kinesiology, 32, 9-14.##Laird, R. A., Gilbert, J., Kent, P., & Keating, J. L. (2014). Comparing lumbo-pelvic kinematics in people with and without back pain: a systematic review and meta-analysis. BMC musculoskeletal disorders, 15(1), 229.##Kobsar, D., Osis, S. T., Hettinga, B. A., & Ferber, R. (2014). Classification accuracy of a single tri-axial accelerometer for training background and experience level in runners. Journal of biomechanics, 47(10), 2508-2511.##Preece, S. J., Mason, D., & Bramah, C. (2016). How do elite endurance runners alter movements of the spine and pelvis as running speed increases?. Gait & posture, 46, 132-134.##Simonsen, E. B., & Alkjær, T. (2012). The variability problem of normal human walking. Medical engineering & physics, 34(2), 219-224.##Mezghani, N., Fuentes, A., Gaudreault, N., Mitiche, A., Aissaoui, R., Hagmeister, N., & De Guise, J. A. (2013). Identification of knee frontal plane kinematic patterns in normal gait by principal component analysis. Journal of Mechanics in Medicine and Biology, 13(03), 1350026.##Hoerzer, S., von Tscharner, V., Jacob, C., & Nigg, B. M. (2015). Defining functional groups based on running kinematics using Self-Organizing Maps and Support Vector Machines. Journal of biomechanics, 48(10), 2072-2079.##Phinyomark, A., Osis, S., Hettinga, B. A., & Ferber, R. (2015). Kinematic gait patterns in healthy runners: A hierarchical cluster analysis. Journal of biomechanics, 48(14), 3897-3904.##Deluzio, K. J., & Astephen, J. L. (2007). Biomechanical features of gait waveform data associated with knee osteoarthritis: an application of principal component analysis. Gait & posture, 25(1), 86-93.##Kobayashi, Y., Hobara, H., Matsushita, S., & Mochimaru, M. (2014). Key joint kinematic characteristics of the gait of fallers identified by principal component analysis. Journal of biomechanics, 47(10), 2424-2429.##Brandon, S. C., Graham, R. B., Almosnino, S., Sadler, E. M., Stevenson, J. M., & Deluzio, K. J. (2013). Interpreting principal components in biomechanics: representative extremes and single component reconstruction. Journal of Electromyography and Kinesiology, 23(6), 1304-1310.##Reid, S. M., Graham, R. B., & Costigan, P. A. (2010). Differentiation of young and older adult stair climbing gait using principal component analysis. Gait & posture, 31(2),197-203.##Chau, T. (2001). A review of analytical techniques for gait data. Part 1: fuzzy, statistical and fractal methods. Gait & posture, 13(1), 49-66.##Maurer, C., Federolf, P., von Tscharner, V., Stirling, L., & Nigg, B. M. (2012). Discrimination of gender-, speed-, and shoe-dependent movement patterns in runners using full-body kinematics. Gait & posture, 36(1), 40-45.##Roche, N., Pradon, D., Cosson, J., Robertson, J., Marchiori, C., & Zory, R. (2014). Categorization of gait patterns in adults with cerebral palsy: a clustering approach. Gait & posture, 39(1), 235-240.##Kinsella, S., & Moran, K. (2008). Gait pattern categorization of stroke participants with equinus deformity of the foot. Gait & posture, 27(1), 144-151.##Schache, A. G., Blanch, P. D., & Murphy, A. T. (2000). Relation of anterior pelvic tilt during running to clinical and kinematic measures of hip extension. British Journal of Sports Medicine, 34(4), 279-283.##Schache, A. G., Bennell, K. L., Blanch, P. D., & Wrigley, T. V. (1999). The coordinated movement of the lumbo–pelvic–hip complex during running: a literature review. Gait & posture, 10(1), 30-47.##Saunders, S. W., Schache, A., Rath, D., & Hodges, P. W. (2005). Changes in three dimensional lumbo-pelvic kinematics and trunk muscle activity with speed and mode of locomotion. Clinical biomechanics, 20(8), 784-793.##Winter, D. A. (2009). Biomechanics and motor control of human movement. John Wiley & Sons.##Jolliffe, I. (2011). Principal component analysis. In International encyclopedia of statistical science (pp. 1094-1096). Springer, Berlin, Heidelberg.##Ward Jr, J. H. (1963). Hierarchical grouping to optimize an objective function. Journal of the American statistical association, 58(301), 236-244.##Clermont, C. A., Phinyomark, A., Osis, S. T., & Ferber, R. (2017). Classification of higher-and lower-mileage runners based on running kinematics. Journal of Sport and Health Science, in press.##Thurston, A. J. (1985). Spinal and pelvic kinematics in osteoarthrosis of the hip joint. Spine, 10(5), 467-471.##Little, V. L., McGuirk, T. E., Perry, L. A., & Patten, C. (2018). Pelvic excursion during walking post-stroke: A novel classification system. Gait & posture, 62, 395-404.##Seay, J. F., Van Emmerik, R. E., & Hamill, J. (2011). Influence of low back pain status on pelvis-trunk coordination during walking and running. Spine, 36(16), E1070-E1079.##