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Vaughan, Neil; Dubey, Venketesh N.; Wee, M.Y.; Isaacs, R. (2014)
Languages: English
Types: Article
Subjects:
This work is to build upon the concept of matching a person's weight, height and age to their overall body shape to create an adjustable three-dimensional model. A versatile and accurate predictor of body size and shape and ligament thickness is required to improve simulation for medical procedures. A model which is adjustable for any size, shape, body mass, age or height would provide ability to simulate procedures on patients of various body compositions.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [4] K.N. Elks and R. H. Riley, The Mediseus epidural simulator - does it replicate real patients?, Anaesth Intensive Care 35(5) (2007), 818.
    • [5] K. Nakamura and T. Kurokawa, An Isomorphic Polygon Model for Describing Human Body Shape, The 6th International Conference on Information Technology and Applications (ICITA), 2009.
    • [6] P.L. Cornelissen, M.J. Tovee and M. Bateson, Patterns of subcutaneous fat deposition and the relationship between body mass index and waist-to-hip ratio: Implications for models of physical attractiveness, Journal of Theoretical Biology 256 (2009), 343-350.
    • [7] J. Li, J. Ye, Y. Wang, L. Bai and G. Lu, Fitting 3D garment models onto individual human models, Computers & Graphics-UK 34(6) (2010), 742-55.
    • [8] R. Hume, and E. Weyers, Relationship between total body water and surface area in normal and obese subjects. J Clin Pathol 24 (1971), 234-238.
    • [9] L.S. Piers, M.J. Soares, S.L Frandsen and K. O'Dea, Indirect estimates of body composition are useful for groups but unreliable in individuals, Int J Obes Relat Metab Disord 24(9) (2000), 1145-1152.
    • [10] P.E. Watson, I.D. Watson and R.D. Batt, Total body volumes for adult males and females estimated from simple anthropometric measurements, Am J Clin Nutr 33(1980), 27-39.
    • [11] A.R Behnke, Anthropometric Evaluation of Body Composition Throughout Life, Annals of new York academy of sciences 110(2) (1963), 450-464.
    • [12] A. Sergovich, M. Johnson and T. Wilson, Explorable Three-Dimensional Digital Model of the Female Pelvis, Pelvic Contents, and Perineum for Anatomical Education, Anatomical Sciences Education 3(3) (2010), 127-133.
    • [13] L.J. Brandon and L. Proctor, Comparison of BMI obesity classification in men and women, Int J Fitness 4(2) (2008), 1-8.
    • [14] D. Martarelli, B. Martarelli and P. Pompei, Body composition obtained from the body mass index: An Italian study, Eur J Nutr 47 (2008), 409-416.
    • [15] G.M. Chertow, E.G. Lowrie, N.L. Lew and J.M. Lazarus, Development of a populationspecific regression equation to estimate total body water in hemodialysis patients, Kid Int 51(1997), 1578-1582.
    • [16] S.B. Heymsfield and A. Martin-Nguyen, Body circumferences: clinical implications emerging from a new geometric model, Nutrition & Metabolism 5 (2008), 24.
    • [17] J.E. Brown and E.S.B. Kahn, Maternal nutrition and the outcome of pregnancy: a renaissance in research, Clinics in Perinatology 24(2) (1997), 433-449.
    • [18] E.P. Gunderson, B. Abrams and S. Selvin, Does the pattern of postpartum weight change differ according to pregravid body size?, International Journal of Obesity 25 (2001), 853- 862.
    • [19] N. Vaughan, V.N. Dubey, M.Y.K. Wee and R. Isaacs, Haptic Interface on Measured Data for Epidural Simulation, Proceedings of the ASME Computers and Information in Engineering Conference (IDETC) (2012), 13-17.
    • [20] E. Zarzur, Anatomic Studies of the Human Lumbar Ligamentum Flavum, Anesth Analg 499(6)3 (1984), 499-502.
    • [21] J. Abbas, K. Hamoud, Y.M. Masharawi, H. May, O. Hay, B. Medlej, et al., Ligamentum flavum thickness in normal and stenotic lumbar spines, Spine 35(12) (2010), 1225-1230
    • [22] T. Sakamaki, K. Sairyo, T. Sakai, T. Tamura, Y. Okada and H. Mikami, Measurements of ligamentum flavum thickening at lumbar spine using MRI, Archives of orthopaedic and trauma surgery 129(10) (2009), 1415-1419.
    • [23] G. Ayvaz and A.R. Çime, Methods for Body Composition Analysis in Adults, The Open Obesity Journal 3 (2011), 62-69.
    • [24] J. Wang, J.C. Thornton, S. Kolesnik and R.N. Pierson Jr, Anthropometry in body composition. An overview, Ann N Y Acad Sci 904 (2000), 317-326.
    • [25] G.A. Bray, K.A. Jablonski, W.Y. Fujimoto, E. Barrett-connor, S. Haffner, R.L. Hanson, et al., Relation of central adiposity and body mass index to the development of diabetes in the Diabetes Prevention Program, Am J Clin Nutr 87 (2008), 1212-1218
    • [26] Centers for Disease Control and Prevention (CDC). National Center for Health Statistics (NCHS). National Health and Nutrition Examination Survey Data. Hyattsville, MD: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, 2012 http://www.cdc.gov/nchs/nhanes/nhanes_questionnaires.htm.
    • [27] T. Nagaoka, S. Watanabe, K. Sakurai, E. Kunieda, S. Watanabe, M. Taki, et al., Development of realistic high-resolution whole-body voxel models of Japanese adult males and females of average height and weight, and application of models to radiofrequency electromagnetic-field dosimetry, Phys. Med. Biol. 49(1) (2004), 1.
    • [28] C.L. Ogden, C.D. Fryar, M.D. Carroll and K.M. Flegal, Mean Body Weight, Height and Body Mass Index, United States 1960-2002, Advance Data From Vital and Health Statistics 347 (2004), 1-17.
    • [29] N. Vaughan, V.N. Dubey, M.Y.K. Wee, R. Isaacs, Towards a realistic in-vitro experience of Epidural Tuohy Needle Insertion, Journal of Engineering in Medicine 227(7) (2013), 767-777.
    • [30] S. Hyewon, and N.M. Thalmann, An automatic modeling of human bodies from sizing parameters, Proceedings of the 2003 symposium on Interactive 3D graphics. ACM, 2003.
    • [31] C.C. Wang, Parameterization and parametric design of mannequins, Computer-Aided Design, 37(1) (2005), 83-98.
    • [32] B. Seung-Yeob, and K. Lee, Parametric human body shape modeling framework for human-centered product design, Computer-Aided Design, 44(1) (2012), 56-67.
    • [33] C. Rupprecht, O. Pauly, C. Theobalt and S. Ilic, 3D Semantic Parameterization for Human Shape Modeling: Application to 3D Animation. IEEE International Conference on 3DTV (2013), 255-262.
    • [34] S. Wuhrer and C. Shu, Estimating 3D Human Shapes From Measurements, Machine Vision and Applications, 24(6) (2013),1133-1147.
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