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ANALYSIS OF MUSCLE STRENGTH EFFECTS ON EXERCISE PERFORMANCE USING DYNAMIC STABILIZATION EXERCISE DEVICE

Research Institute of Clinical Medicine of Jeonbuk, National University–Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju-si, Jeollabuk-do 561-712, Republic of Korea

E-mail Address: hanks@jbnu.ac.kr

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SEUNG-ROK KANG

Research Institute of Clinical Medicine of Jeonbuk, National University–Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju-si, Jeollabuk-do 561-712, Republic of Korea

E-mail Address: srkang@mdctc.or.kr

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, and

TAE-KYU KWON

Division of Biomedical Engineering, College of Engineering, Jeonbuk National University, Jeonju-si, Jeollabuk-do 54896, Republic of Korea

E-mail Address: Kwon10@jbnu.ac.kr

Corresponding author.

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https://doi.org/10.1142/S0219519420400047Cited by:0 (Source: Crossref)

This article is part of the issue:

A Special Selection on Mechanical Engineering Applied to Biomedicine — Part I
Guest Editors: Esteban Peña Pitarch, Agnès Drochon and Eddie Y. K. Ng

Abstract

Muscle strength may vary depending on the pathological issues and static life habits. These conditions lead to abnormal spinal loads and change muscle strength as well as activation patterns, thereby causing spinal disorders. In this study, the effects of muscle strength on the spine stabilization exercise were analyzed using a whole-body tilt device. Musculoskeletal modeling was performed and the results were validated through a comparison with the electromyography (EMG) analysis results. Based on the validated basic model, modeling was performed for the whole-body tilt device. To examine the exercise effect and muscle activation while the maximum muscle force capacity (MFC) was varied from 30N/cm² to 60N/cm² and 90N/cm², the muscle force was predicted through inverse dynamics analysis. When MFC was 30N/cm², the posterior direction of the tilt could not be analyzed (no solution found). When MFC was 60N/cm², it could be analyzed, but the muscle force was predicted to be higher compared to when MFC was 90N/cm². It was confirmed that muscle strength is a very important element for maintaining postural activities and performing exercise. Therefore, for rehabilitation patients and elderly people with weak muscle strength, hard or extreme exercise may cause musculoskeletal injuries.

Keywords:

References

1. Schultz IZ, Crook J, Berkowitz J, Milner R, Meloche GR , Predicting return to work after low back injury using the psychosocial risk for occupational disability instrument: A validation study, J Occup Rehabil 15 :365–376, 2005. Crossref, Web of Science, Google Scholar
2. Edlich RF, Winters KL, Hudson MA, Britt LD, Long WB , Prevention of disabling back injuries in nurses by the use of mechanical patient lift systems, J Long Term Eff Med Implants 14 :521–533, 2004. Crossref, Google Scholar
3. Garcy P, Mayer T, Gatchel RJ , Recurrent or new injury outcomes after return to work in chronic disabling spinal disorders: Tertiary prevention efficacy of functional restoration treatment, Spine 21 :952–959, 1996. Crossref, Web of Science, Google Scholar
4. Gluck JV, Oleinick A , Claim rates of compensable back injuries by age, gender, occupation, and industry: Do they relate to return-to-work experience? Spine 23 :1572–1587, 1998. Crossref, Web of Science, Google Scholar
5. Nuzzo JL, McCaulley GO, Cormie P, Cavill MJ, McBride JM , Trunk muscle activity during stability ball and free weight exercises, J Strength Cond Res 22 :95–102, 2008. Crossref, Web of Science, Google Scholar
6. Oliver GD, Di Brezzo R , Functional balance training in collegiate women athletes, J Strength Cond Res 23 :2124–2129, 2009. Crossref, Web of Science, Google Scholar
7. Baker RJ, Patel D , Lower back pain in the athlete: Common conditions and treatment, Prim Care 32 :201–229, 2005. Crossref, Web of Science, Google Scholar
8. Powers DW, Wagner K , Getting back up from a back injury, Emerg Med Serv 33 :82–83, 2004. Google Scholar
9. Rasmussen-Barr E, Nilsson-Wikmar L, Arvidsson I , Stabilizing training compared with manual treatment in subacute and chronic low-back pain, Man Ther 8 :233–241, 2003. Crossref, Google Scholar
10. Arokoski JP, Valta T, Kankaanpää M, Airaksinen O , Activation of lumbar paraspinal and abdominal muscles during therapeutic exercises in chronic low back pain patients, Arch Phys Med Rehabil 85 :823–832, 2004. Crossref, Web of Science, Google Scholar
11. Imai A, Kaneoka K, Okubo Y, Shiina I, Tatumura M , Trunk muscle activity during lumbar stabilization exercises on both a stable and unstable surface, J Orthop Sports Phys Ther 40 :369–375, 2010. Crossref, Web of Science, Google Scholar
12. Yu CH, Shin SH, Jeong HC, Go DY, Kwon TK , Activity analysis of trunk and leg muscles during whole body tilt exercise, Biomed Mater Eng 24 :245–254, 2014. Web of Science, Google Scholar
13. Pijnappels M, van der Burg PJ, Reeves ND, van Dieën HJ , Identification of elderly fallers by muscle strength measures, Eur J Appl Physiol 102 :585–592, 2008. Crossref, Web of Science, Google Scholar
14. Kallman DA, Plato CC, Tobin GD , The role of muscle loss in the age-related decline of grip strength: cross-sectional and longitudinal perspectives, J Gerontol 45 :M82–M88, 1990. Crossref, Google Scholar
15. Frontera WR, Hughes VA, Lutz KJ, Evans WJ , A cross-sectional study of muscle strength and mass in 45- to 78-year-old men and women, J Appl Physiol 71 :644–650, 1991. Crossref, Web of Science, Google Scholar
16. Lindle RS, Metter EJ, Lynch NA, Fleg JL, Fozard JL , Age and gender comparisons of muscle strength in 654 women and men aged 20-93 yr, J Appl Physiol 83 :1581–1587, 1997. Crossref, Web of Science, Google Scholar
17. Cholewicki J, McGill SM , EMG assisted optimization: a hybrid approach for estimating muscle forces in an indeterminate biomechanical model, J Biomech 27 :1287–1289, 1994. Crossref, Web of Science, Google Scholar
18. Amaratini D, Martin L , A method to combine numerical optimization and EMG data for the estimation of joint moments under dynamic conditions, J Biomech 37 :1393–1404, 2004. Crossref, Web of Science, Google Scholar
19. de Zee M, Hansen L, Wong C, Rasmussen J, Simonsen EB , A generic detailed rigid-body lumbar spine model, J Biomech 40 :1219–1227, 2007. Crossref, Web of Science, Google Scholar
20. Han KS, Zander T, Taylor WR, Rohlmann A , An enhanced and validated generic thoraco-lumbar spine model for prediction of muscle forces, Med Eng Phys 34 :709–716, 2012. Crossref, Web of Science, Google Scholar
21. Damsgaard M, Rasmussen J, Christensen ST, Surma E, de Zee M , Analysis of musculoskeletal systems in the AnyBody Modeling System, Simul Modelling Pract Theory 14 :1100–1111, 2006. Crossref, Web of Science, Google Scholar
22. Han KS, Rohlmann A, Kim K, Cho KW, Kim YH , Effect of ligament stiffness on spinal loads and muscle forces in flexed positions, Int J Precis Eng Manuf 13 :2233–2238, 2012. Crossref, Web of Science, Google Scholar
23. Han KS, Kim K, Park WM, Lim DS, Kim YH , Effect of centers of rotation on spinal loads and muscle forces in total disc replacement of lumbar spine, Proc Inst Mech Eng H, J Eng Med 227 :543–550, 2013. Crossref, Web of Science, Google Scholar
24. Han KS, Zander T, Taylor WR, Rohlmann A , Lumbar spinal loads vary with body height and weight, Med Eng Phys 35 :969–977, 2013. Crossref, Web of Science, Google Scholar
25. Winter DA , Biomechanics and Motor Control of Human Movement, John Wiley & Sons, New York, 1990. Google Scholar
26. Nolte LP, Panjabi MM, Oxland TR , Biomechanical properties of lumbar spinal ligaments, in Heimke G, Soltesz U, Lee AJC (eds.), Clinical Implant Materials: Proceedings of the Eighth European Conference on Biomaterials, Heidelberg, F.R.G., September 7–9, 1989, Elsevier, Heidelberg, pp. 663–668, 1990. Google Scholar
27. Zander T, Rohlmann A, Bergmann G , Influence of ligament stiffness on the mechanical behavior of a functional spinal unit, J Biomech 37 :1107–1111, 2004. Crossref, Web of Science, Google Scholar
28. Rasmussen J, Damsgaard M, Voigt M , Muscle recruitment by the min/max criterion: A comparative numerical study, J Biomech 34 :409–415, 2001. Crossref, Web of Science, Google Scholar
29. Hansen L, de Zee M, Rasmussen J, Andersen TB, Wong C , Anatomy and biomechanics of the back muscles in the lumbar spine with reference to biomechanical modeling, Spine 31 :1888–1899, 2006. Crossref, Web of Science, Google Scholar
30. Imai K, Ohnishi I, Yamamoto S, Nakamura K , In vivo assessment of lumbar vertebral strength in elderly women using computed tomography-based nonlinear finite element model, Spine 33 :27–32, 2008. Crossref, Web of Science, Google Scholar
31. Imai K, Ohnishi I, Bessho M, Nakamura K , Nonlinear finite element model predicts vertebral bone strength and fracture site, Spine 31 :1789–1794, 2006. Crossref, Web of Science, Google Scholar
32. Wolfram U, Wilke HJ, Zysset PK , Damage accumulation in vertebral trabecular bone depends on loading mode and direction, J Biomech 44 :1164–1169, 2011. Crossref, Web of Science, Google Scholar

Vol. 20, No. 09

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History

Received 4 November 2019

Accepted 5 March 2020

Published: 29 September 2020

Information

This is an Open Access article published by World Scientific Publishing Company. It is distributed under the terms of the Creative Commons Attribution 4.0 (CC BY) License which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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ANALYSIS OF MUSCLE STRENGTH EFFECTS ON EXERCISE PERFORMANCE USING DYNAMIC STABILIZATION EXERCISE DEVICE

Abstract

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