Biomechanical analysis of movement strategies in human forward trunk bending. I. Modeling

被引:67
|
作者
Alexandrov, AV
Frolov, AA
Massion, J
机构
[1] Russian Acad Sci, Inst Higher Nervous Act & Neurophysiol, Moscow 117865, Russia
[2] CNRS, Lab Neurobiol & Movements, F-13402 Marseille 20, France
[3] Univ Aix Marseille 1, Lab Parole & Langage, F-13621 Aixen Provence, France
关键词
D O I
10.1007/PL00007986
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Two behavioral goals are achieved simultaneously during forward trunk bending in humans: the bending movement per se and equilibrium maintenance. The objective of the present study was to understand how the two goals are achieved by using a biomechanical model of this task. Since keeping the center of pressure inside the support area is a crucial condition for equilibrium maintenance during the movement, we decided to model an extreme case, called "optimal bending", in which the movement is performed without any center of pressure displacement at all, as if standing on an extremely narrow support. The "optimal bending" is used as a reference in the analysis of experimental data in a companion paper. The study is based on a three-joint (ankle, knee, and hip) model of the human body and is performed in terms of "eigenmovements", i.e., the movements along eigenvectors of the motion equation. They are termed "ankle", "hip", and "knee" eigenmovements according to the dominant joint that provides the largest contribution to the corresponding eigenmovement. The advantage of the eigenmovement approach is the presentation of the coupled system of dynamic equations in the form of three independent motion equations. Each of these equations is equivalent to the motion equation for an inverted pendulum. Optimal bending is constructed as a superposition of two (hip and ankle) eigenmovements. The hip eigenmovement contributes the most to the movement kinematics, whereas the contributions of both eigenmovements into the movement dynamics are comparable. The ankle eigenmovement moves the center of gravity forward and compensates for the backward center of gravity shift that is provoked by trunk bending as a result of dynamic interactions between body segments. An important characteristic of the optimal bending is the timing of the onset of each eigenmovement: the ankle eigenmovement onset precedes that of the hip eigenmovement. Without an earlier onset of the ankle eigenmovement, forward bending on the extremely narrow support results in falling backward. This modeling approach suggests that during trunk bending, two motion units - the hip and ankle eigenmovements are responsible for the movement and for equilibrium maintenance, respectively.
引用
收藏
页码:425 / 434
页数:10
相关论文
共 50 条
  • [31] Forward Modeling of Metal Complexation by NOM: I. A priori Prediction of Conditional Constants and Speciation
    Cabaniss, Stephen E.
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2009, 43 (08) : 2838 - 2844
  • [32] Error analysis in inverse scatterometry. I. Modeling
    Al-Assaad, Rayan M.
    Byrne, Dale M.
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2007, 24 (02) : 326 - 338
  • [33] ANNEX I. ANALYSIS OF HUMAN REMAINS OF ESPALMADOR
    Gomez Bellard, Francisco
    SAGVNTVM-PAPELES DEL LABORATORIO DE ARQUEOLOGIA DE VALENCIA, 2009, 41 : 263 - 266
  • [34] A real-time system for biomechanical analysis of human movement and muscle function
    van den Bogert, Antonie J.
    Geijtenbeek, Thomas
    Even-Zohar, Oshri
    Steenbrink, Frans
    Hardin, Elizabeth C.
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2013, 51 (10) : 1069 - 1077
  • [35] A real-time system for biomechanical analysis of human movement and muscle function
    Antonie J. van den Bogert
    Thomas Geijtenbeek
    Oshri Even-Zohar
    Frans Steenbrink
    Elizabeth C. Hardin
    Medical & Biological Engineering & Computing, 2013, 51 : 1069 - 1077
  • [36] Modelling of human spine and biomechanical analysis of correlations between human body movement and internal forces
    Gzik, M.
    Advances in Transportation Studies, 2010, (21): : 89 - 96
  • [37] Human Modeling for Biomechanical Analysis of Closed Kinetic Chain Exercises of the Leg
    Chicoma, Christian G.
    Canales, Fabricio G.
    Garcia, Jose G.
    Morales, Marco
    Elias, Dante A.
    Villota, Elizabeth R.
    INTERDISCIPLINARY APPLICATIONS OF KINEMATICS, 2019, 71 : 141 - 151
  • [38] Modeling of biomechanical human body model for seat to head transmissibility analysis
    Bhardawaj S.
    Sharma R.C.
    Sharma S.K.
    Gopala Rao L.V.V.
    Vashist A.
    Noise and Vibration Worldwide, 2023, 54 (2-3): : 62 - 74
  • [39] Modeling Fluid Structure-Interactions for Biomechanical Analysis of the Human Eye
    Furlani, Edward P.
    Nunez, Anthony
    Vizzeri, Gianmarco
    NANOTECHNOLOGY 2012, VOL 2: ELECTRONICS, DEVICES, FABRICATION, MEMS, FLUIDICS AND COMPUTATIONAL, 2012, : 337 - 340
  • [40] Edge quality in fused deposition modeling: I. Definition and analysis
    Armillotta, Antonio
    Cavallaro, Marco
    RAPID PROTOTYPING JOURNAL, 2017, 23 (06) : 1079 - 1087