LinkedIn

 آمار

تعداد نشریات20
تعداد شماره‌ها1,142
تعداد مقالات10,465
تعداد مشاهده مقاله44,839,197
تعداد دریافت فایل اصل مقاله10,694,396
Darwich, A, Nazha, H, Nazha, A, Daoud, M, Alhussein, A. (1399). Bio-Numerical Analysis of the Human Ankle-Foot Model Corresponding to Neutral Standing Condition. سامانه مدیریت نشریات علمی, 10(5), 645-650. doi: 10.31661/jbpe.v0i0.2004-1094
A Darwich; H Nazha; A Nazha; M Daoud; A Alhussein. "Bio-Numerical Analysis of the Human Ankle-Foot Model Corresponding to Neutral Standing Condition". سامانه مدیریت نشریات علمی, 10, 5, 1399, 645-650. doi: 10.31661/jbpe.v0i0.2004-1094
Darwich, A, Nazha, H, Nazha, A, Daoud, M, Alhussein, A. (1399). 'Bio-Numerical Analysis of the Human Ankle-Foot Model Corresponding to Neutral Standing Condition', سامانه مدیریت نشریات علمی, 10(5), pp. 645-650. doi: 10.31661/jbpe.v0i0.2004-1094
Darwich, A, Nazha, H, Nazha, A, Daoud, M, Alhussein, A. Bio-Numerical Analysis of the Human Ankle-Foot Model Corresponding to Neutral Standing Condition. سامانه مدیریت نشریات علمی, 1399; 10(5): 645-650. doi: 10.31661/jbpe.v0i0.2004-1094

Bio-Numerical Analysis of the Human Ankle-Foot Model Corresponding to Neutral Standing Condition

Journal of Biomedical Physics and Engineering
مقاله 14، دوره 10، شماره 5، دی 2020، صفحه 645-650    اصل مقاله (927.06 K)
نوع مقاله: Original Research
شناسه دیجیتال (DOI): 10.31661/jbpe.v0i0.2004-1094
نویسندگان
A Darwich1؛ H Nazha* 2؛ A Nazha3؛ M Daoud4؛ A Alhussein5
1PhD, Faculty of Biomedical Engineering, Al-Andalus University for Medical Sciences, Tartous, Syria
2PhD, Faculty of Technical Engineering, University of Tartous, Tartous, Syria
3BSc, Faculty of Mechanical and Electrical Engineering, Damascus University, Damascus, Syria
4PhD, Technological Research Institute Materials, Metallurgy and Processes, Metz, France
5PhD, ICD-LASMIS, University of Technology of Troyes, Nogent, France
چکیده
Background: The foot is the most complex body’s structure; it is highly susceptible to disorders because of its loading pattern. The complexity of the foot structure geometry implies the use of reverse engineering tools to obtain a model that can accurately mimic the biomechanical behavior of the foot.
Objective: The objective of this study is to establish a state-of-the-art ankle-foot finite element (FE) model with anatomically realistic geometry and structure in order to get the model that will suit all cases for future studies on stress injuries and foot insole designs under different loading conditions.
Material and Methods: In this analytical study, tomography images were imported in DICOM format, after that, the object was exported in the form of three-dimensional structures in STL file format to define and assemble the structures. After that, the computer simulation on numerical model was done. One-way Analysis of variance (ANOVA) test was performed, and a threshold (p <0.05) was used to indicate the significance of results.
Results: The results showed no significant differences (P>0.05) between the values of the plantar pressure corresponding to neutral standing condition with other foot models in literature. The stresses transferred to the bone structure show that the relatively higher stress was located in the fifth, fourth and third tarsometatarsal, where the maximum von Mises stress in the bone structure was 2155.4 kPa.
Conclusion: The state-of-the-art ankle-foot FE model with anatomically realistic geometry and structure will be very helpful for future studies on stress injuries and foot insole designs under different loading conditions.
کلیدواژه‌ها
Methods؛ Ankle؛ Foot؛ Stress Distribution؛ Neutral Standing
سایر فایل های مرتبط با مقاله
مراجع
  1. Massion J. Postural control system. Curr Opin Neurobiol. 1994;4(6):877-87. doi: 10.1016/0959-4388(94)90137-6. PubMed PMID: 7888772.
  2. Antunes PJ, Dias GR, Coelho AT, Rebelo F, Pereira T. Non-linear finite element modelling of anatomically detailed 3D foot model. Report paper. 2008:1.
  3. France DL. Human and nonhuman bone identification: a color atlas. CRC Press; 2008. p. 584.
  4. Porter DA, Schon LC. Baxter’s the Foot and Ankle in Sport. Elsevier Health Sciences; 2020. p. 624.
  5. Abdul Razak AH, Zayegh A, Begg RK, Wahab Y. Foot plantar pressure measurement system: A review. Sensors. 2012;12(7):9884-912. doi: 10.3390/s120709884. PubMed PMID: 23012576. PubMed PMCID: PMC3444133.
  6. Brimacombe JM, Wilson DR, Hodgson AJ, Ho KC, Anglin C. Effect of calibration method on Tekscan sensor accuracy. J Biomech Eng. 2009;131(3):034503. doi: 10.1115/1.3005165. PubMed PMID: 19154074.
  7. Hurkmans HL, Bussmann JB, Selles RW, Horemans HL, Benda E, Stam HJ, Verhaar JA. Validity of the Pedar Mobile system for vertical force measurement during a seven-hour period. Journal of Biomechanics. 2006;39(1):110-8. doi: 10.1016/j.jbiomech.2004.10.028. PubMed PMID: 16271594.
  8. Woodburn J, Helliwell PS. Observations on the F-Scan in-shoe pressure measuring system. Clin Biomech (Bristol, Avon). 1996;11(5):301-4. doi: 10.1016/0268-0033(95)00071-2. PubMed PMID: 11415636.
  9. Shash M, Nazha H, Abbas W. Influence of different abutment designs on the biomechanical behavior of one-piece zirconia dental implants and their surrounding bone: a 3D-FEA. IRBM. 2019;40(6):313-9. doi: 10.1016/j.irbm.2019.07.001.
  10. Živaljić N, Smoljanović H, Nikolić Ž. Sensitivity analysis of numerical parameters in FEM/DEM model for RC structures. International Journal for Engineering Modelling. 2012;25(1-4):7-17.
  11. Darwich A, Nazha H, Daoud M. Effect of Coating Materials on the Fatigue Behavior of Hip Implants: A Three-dimensional Finite Element Analysis. Journal of Applied and Computational Mechanics. 2020;6(2):284-95. doi: 10.22055/JACM.2019.30017.1659.
  12. Zhang M, Mak AF. In vivo friction properties of human skin. Prosthet Orthot Int. 1999;23(2):135-41. doi: 10.3109/03093649909071625. PubMed PMID: 10493141.
  13. Abu-Faraj ZO, Harris GF, Chang AH, Shereff MI. Evaluation of a rehabilitative pedorthic: plantar pressure alterations with scaphoid pad application. IEEE Trans Rehabil Eng. 1996;4(4):328-36. doi: 10.1109/86.547934. PubMed PMID: 8973959.
  14. Nakamura S, Crowninshield RD, Cooper RR. An analysis of soft tissue loading in the foot--a preliminary report. Bulletin of Prosthetics Research. 1981;10:27-34. PubMed PMID: 7332829 .
  15. Gefen A, Megido-Ravid M, Itzchak Y, Arcan M. Biomechanical analysis of the three-dimensional foot structure during gait: a basic tool for clinical applications. J Biomech Eng. 2000;122(6):630-9. doi: 10.1115/1.1318904. PubMed PMID: 11192385.
  16. Wang Y, Li Z, Wong DWC, Cheng CK, Zhang M. Finite element analysis of biomechanical effects of total ankle arthroplasty on the foot. Journal of Orthopaedic Translation. 2017;12:55-65. doi: 10.1016/j.jot.2017.12.003.
  17. Wright DG, Rennels DC. A study of the elastic properties of plantar fascia. J Bone Joint Surg Am. 1964;46:482-92. PubMed PMID: 14131427.
  18. Qiu TX, Teo EC, Yan YB, Lei W. Finite element modeling of a 3D coupled foot–boot model. Medical Engineering & Physics. 2011;33(10):1228-33. doi: 10.1016/j.medengphy.2011.05.012. PubMed PMID: 21676642.
  19. Athanasiou KA, Liu GT, Lavery LA, Lanctot DR, Schenck JR. Biomechanical topography of human articular cartilage in the first metatarsophalangeal joint. Clinical Orthopaedics and Related Research. 1998:269-81. PubMed PMID: 9553561.
  20. Cheung JT, Zhang M. Parametric design of pressure-relieving foot orthosis using statistics-based finite element method. Med Eng Phys. 2008;30(3):269-77. doi: 10.1016/j.medengphy.2007.05.002. PubMed PMID: 17584519.
  21. Dar FH, Meakin JR, Aspden RM. Statistical methods in finite element analysis. J Biomech. 2002;35(9):1155-61. doi: 10.1016/s0021-9290(02)00085-4. PubMed PMID: 12163305.
  22. Luo G, Houston VL, Garbarini MA, Beattie AC, Thongpop C. Finite element analysis of heel pad with insoles. J Biomech. 2011;44(8):1559-65. doi: 10.1016/j.jbiomech.2011.02.083. PubMed PMID: 21420682.
  23. Hsu YC, Gung YW, Shih SL, Feng CK, Wei SH, Yu CH, Chen CS. Using an optimization approach to design an insole for lowering plantar fascia stress—a finite element study. Ann Biomed Eng. 2008;36(8):1345-52. doi: 10.1007/s10439-008-9516-x. PubMed PMID: 18481179.
  24. Mandolini M, Germani M, Raffaeli R. A Finite Element Method to support the materials selection phase during the insole design process. Madrid: XXIII International Conference on Graphic Engineering; 2013.
  25. Cheung JT, Zhang M. A 3-dimensional finite element model of the human foot and ankle for insole design. Arch Phys Med Rehabil. 2005;86(2):353-8. doi: 10.1016/j.apmr.2004.03.031. PubMed PMID: 15706568.
آمار
تعداد مشاهده مقاله: 1,232
تعداد دریافت فایل اصل مقاله: 561


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب