Search Results - "Rohrle, O"

  • Showing 1 - 20 results of 20
Refine Results
  1. 1

    The role of oral soft tissues in swallowing function: what can tongue pressure tell us? by Kieser, JA, Farland, MG, Jack, H, Farella, M, Wang, Y, Rohrle, O

    Published in Australian dental journal (01-06-2014)
    “…Tongue pressure data taken from healthy subjects during normal oral activities such as mastication, speech and swallowing are providing us with new ways of…”
    Get full text
    Journal Article
  2. 2

    A two-muscle, continuum-mechanical forward simulation of the upper limb by Röhrle, O., Sprenger, M., Schmitt, S.

    “…By following the common definition of forward-dynamics simulations, i.e. predicting movement based on (neural) muscle activity, this work describes, for the…”
    Get full text
    Journal Article
  3. 3

    Convergence of the multigrid reduction in time algorithm for the linear elasticity equations by Hessenthaler, A., Nordsletten, D., Röhrle, O., Schroder, J. B., Falgout, R. D.

    Published in Numerical linear algebra with applications (01-05-2018)
    “…Summary This paper presents some recent advances for parallel‐in‐time methods applied to linear elasticity. With recent computer architecture changes leading…”
    Get full text
    Journal Article
  4. 4

    Experiment for validation of fluid‐structure interaction models and algorithms by Hessenthaler, A., Gaddum, N. R., Holub, O., Sinkus, R., Röhrle, O., Nordsletten, D.

    “…In this paper a fluid‐structure interaction (FSI) experiment is presented. The aim of this experiment is to provide a challenging yet easy‐to‐setup FSI test…”
    Get full text
    Journal Article
  5. 5

    Gradient‐based optimization with B‐splines on sparse grids for solving forward‐dynamics simulations of three‐dimensional, continuum‐mechanical musculoskeletal system models by Valentin, J., Sprenger, M., Pflüger, D., Röhrle, O.

    “…Investigating the interplay between muscular activity and motion is the basis to improve our understanding of healthy or diseased musculoskeletal systems. To…”
    Get full text
    Journal Article
  6. 6

    Linking continuous and discrete intervertebral disc models through homogenisation by Karajan, N., Röhrle, O., Ehlers, W., Schmitt, S.

    “…At present, there are two main numerical approaches that are frequently used to simulate the mechanical behaviour of the human spine. Researchers with a…”
    Get full text
    Journal Article
  7. 7

    A physiologically based, multi-scale model of skeletal muscle structure and function by Röhrle, O, Davidson, J B, Pullan, A J

    Published in Frontiers in physiology (01-01-2012)
    “…Models of skeletal muscle can be classified as phenomenological or biophysical. Phenomenological models predict the muscle's response to a specified input…”
    Get full text
    Journal Article
  8. 8

    Multiscale musculoskeletal modelling, data–model fusion and electromyography-informed modelling by Fernandez, J., Zhang, J., Heidlauf, T., Sartori, M., Besier, T., Röhrle, O., Lloyd, D.

    Published in Interface focus (06-04-2016)
    “…This paper proposes methods and technologies that advance the state of the art for modelling the musculoskeletal system across the spatial and temporal scales;…”
    Get full text
    Journal Article
  9. 9

    Review of the human masticatory system and masticatory robotics by Xu, W.L., Bronlund, J.E., Potgieter, J., Foster, K.D., Röhrle, O., Pullan, A.J., Kieser, J.A.

    Published in Mechanism and machine theory (01-11-2008)
    “…A masticatory robot refers to a robot that can perform at least some defined human masticatory functions. This paper briefly reviews the masticatory system,…”
    Get full text
    Journal Article
  10. 10

    A computationally efficient optimization kernel for material parameter estimation procedures by Schmid, H, Nash, M P, Young, A A, Röhrle, O, Hunter, P J

    Published in Journal of biomechanical engineering (01-04-2007)
    “…Estimating material parameters is an important part in the study of soft tissue mechanics. Computational time can easily run to days, especially when all…”
    Get more information
    Journal Article
  11. 11

    Impact of transmural heterogeneities on arterial adaptation: Application to aneurysm formation by Schmid, H., Watton, P. N., Maurer, M. M., Wimmer, J., Winkler, P., Wang, Y. K., Röhrle, O., Itskov, M.

    “…Recent experimental and computational studies have shown that transmurally heterogeneous material properties through the arterial wall are critical to…”
    Get full text
    Journal Article
  12. 12

    POD-DEIM reduction of computational EMG models by Mordhorst, M., Strecker, T., Wirtz, D., Heidlauf, T., Röhrle, O.

    Published in Journal of computational science (01-03-2017)
    “…•Accelerate simulations of complex, realistic numerical EMG signals with POD and DEIM.•Speedup factors of up to 180, while preserving accuracy.•Possibility to…”
    Get full text
    Journal Article
  13. 13

    Projection Multilevel Methods for Quasilinear Elliptic Partial Differential Equations: Theoretical Results by Manteuffel, Thomas A., Mccormick, Stephen F., Röhrle, Oliver

    Published in SIAM journal on numerical analysis (01-01-2006)
    “…In a companion paper [T. A. Manteuffel et al., SIAM J. Numer. Anal, 44 (2006), pp. 120-138], we propose a new multilevel solver for two-dimensional elliptic…”
    Get full text
    Journal Article
  14. 14

    Projection Multilevel Methods for Quasilinear Elliptic Partial Differential Equations: Numerical Results by Manteuffel, Thomas A., Mccormick, Stephen F., Röhrle, Oliver, Ruge, John

    Published in SIAM journal on numerical analysis (01-01-2006)
    “…The goal of this paper is to introduce a new multilevel solver for two-dimensional elliptic systems of nonlinear partial differential equations (PDEs), where…”
    Get full text
    Journal Article
  15. 15

    Mathematically Modeling the Effects of Electrically Stimulating Skeletal Muscle by Davidson, J.B., Kim, J., Cheng, L.K., Rohrle, O., Shorten, P.R., Soboleva, T.K., Clarke, R.D., Pullan, A.J.

    “…A framework for modeling the activation of skeletal muscle is presented for studying functional electrical stimulation. A mathematical model of the cellular…”
    Get full text
    Conference Proceeding Journal Article
  16. 16

    Computational Continuum Biomechanics with Application to Swelling Media and Growth Phenomena by Ehlers, W., Markert, B., Röhrle, O.

    “…Biological tissues, no matter if soft or hard tissues are concerned, basically consist of a solid matrix saturated by an interstitial fluid, which is composed…”
    Get full text
    Journal Article
  17. 17
  18. 18

    Bridging scales: An attempt to incorporate cellular responses within a three-dimensional FEM model of active muscle contraction by Röhrle, O., Davidson, J.B., Kim, J.H.K., Pullan, A.J.

    “…A mathematical model of the cellular responses of skeletal muscles has been integrated within a three‐dimensional biomechanical Finite Element (FEM) model. The…”
    Get full text
    Journal Article
  19. 19

    A THREE-DIMENSIONAL FINITE ELEMENT FRAMEWORK FOR INVESTIGATING FUNCTIONAL ELECTRICAL STIMULATION PROTOCOLS by Röhrle, O, Kim, J H, Davidson, J B, Pullan, A J

    “…In order for a model to be able to represent the effects of specified fibre distributions, different recruitment orders, fibre direction and fatigue, the model…”
    Get full text
    Journal Article
  20. 20

    MODELLING THE ELECTRICAL AND MECHANICAL ACTION OF THE TIBIALIS ANTERIOR by Davidson, J B, Röhrle, O, Kim, J H, Shorten, P R, Pullan, A J

    “…The ability to model the electrophysical activation and the subsequent mechanical response of skeletal muscle in health and disease is of vital importance in…”
    Get full text
    Journal Article