Ligament-based spine-segment mechanisms

被引:6
作者
Ciszkiewicz, A. [1 ]
Milewski, G. [1 ]
机构
[1] Cracow Univ Technol, Inst Appl Mech, Al Jana Pawla II, PL-31864 Krakow, Poland
关键词
intervertebral joint; optimization; parameters estimation; genetic algorithm; elastostatic analysis; LUMBAR SPINE; INTERVERTEBRAL JOINT; GENETIC ALGORITHM; DISC; SIMULATION; SYSTEM; MODEL; UNIT;
D O I
10.24425/bpas.2018.125337
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Nowadays, a growing interest in spine-segment mechanisms for humanoid robots can be observed. The ones currently available are mostly inspired by an intervertebral joint but rarely use its structure and behaviour as input data. The aim of this study was to propose and verify an approach to spine-segment mechanisms synthesis, in which the mechanisms were obtained directly from a ligament system of the intervertebral joint through numerical optimization. The approach consists of two independent optimization procedures performed with genetic algorithm. The first one searches for the optimal structure, while the second estimates its geometrical and stiffness parameters. The mechanisms are rated by their ability to reproduce the static behaviour of the joint in selected aspects. Both procedures use the lumbar L4-L5 intervertebral joint reference data. The approach was tested in two numerical scenarios. It was possible to obtain a mechanism with 7 flexible linear legs that accurately emulated the elastostatic behaviour of the intervertebral joint under moment loads. The results prove that the proposed method is feasible and worth exploring. It may be employed in design of bioinspired joints for use in humanoid robots and can also serve as an initial step in the design of prosthetic and orthotic devices for a human spine.
引用
收藏
页码:705 / 712
页数:8
相关论文
共 33 条
  • [1] LIGAMENTS OF THE LUMBAR SPINE - A REVIEW
    BEHRSIN, JF
    BRIGGS, CA
    [J]. SURGICAL AND RADIOLOGIC ANATOMY, 1988, 10 (03) : 211 - 219
  • [2] A real-coded genetic algorithm for training recurrent neural networks
    Blanco, A
    Delgado, M
    Pegalajar, MC
    [J]. NEURAL NETWORKS, 2001, 14 (01) : 93 - 105
  • [3] Borkowski P, 2012, ACTA BIOENG BIOMECH, V14, P59
  • [4] Parallel genetic algorithm based automatic path planning for crane lifting in complex environments
    Cai, Panpan
    Cai, Yiyu
    Chandrasekaran, Indhumathi
    Zheng, Jianmin
    [J]. AUTOMATION IN CONSTRUCTION, 2016, 62 : 133 - 147
  • [5] On the modeling of the intervertebral joint in multibody models for the spine
    Christophy, Miguel
    Curtin, Maurice
    Senan, Nur Adila Faruk
    Lotz, Jeffrey C.
    O'Reilly, Oliver M.
    [J]. MULTIBODY SYSTEM DYNAMICS, 2013, 30 (04) : 413 - 432
  • [6] A Musculoskeletal model for the lumbar spine
    Christophy, Miguel
    Senan, Nur Adila Faruk
    Lotz, Jeffrey C.
    O'Reilly, Oliver M.
    [J]. BIOMECHANICS AND MODELING IN MECHANOBIOLOGY, 2012, 11 (1-2) : 19 - 34
  • [7] Compliant intervertebral mechanism for humanoid backbone: Kinematic modeling and optimization
    Cibert, Christian
    Hugel, Vincent
    [J]. MECHANISM AND MACHINE THEORY, 2013, 66 : 32 - 55
  • [8] A novel kinematic model for a functional spinal unit and a lumbar spine
    Ciszkiewicz, Adam
    Milewski, Grzegorz
    [J]. ACTA OF BIOENGINEERING AND BIOMECHANICS, 2016, 18 (01) : 87 - 95
  • [9] A generic detailed rigid-body lumbar spine model
    de Zee, Mark
    Hansen, Lone
    Wong, Christian
    Rasmussen, John
    Simonsen, Erik B.
    [J]. JOURNAL OF BIOMECHANICS, 2007, 40 (06) : 1219 - 1227
  • [10] Simulation of an anterior spine instrumentation in adolescent idiopathic scoliosis using a flexible multi-body model
    Desroches, Genevieve
    Aubin, Carl-Eric
    Sucato, Daniel J.
    Rivard, Charles-Hilaire
    [J]. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2007, 45 (08) : 759 - 768