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  • CONFERENCE PAPER
    Harris K, Armstrong S, Campos-Pires R, Kiru L, Franks N, Dickinson Ret al., 2016,

    Neuroprotection against traumatic brain injury by xenon, but not argon, is mediated by inhibition at the N-methyl-D-aspartate receptor glycine site

    , Publisher: TAYLOR & FRANCIS INC, Pages: 606-606, ISSN: 0269-9052
  • JOURNAL ARTICLE
    Kelly M, Arora H, Worley A, Kaye M, Del Linz P, Hooper PA, Dear JPet al., 2016,

    Sandwich Panel Cores for Blast Applications: Materials and Graded Density

    , EXPERIMENTAL MECHANICS, Vol: 56, Pages: 523-544, ISSN: 0014-4851
  • BOOK CHAPTER
    Newell N, Masouros SD, 2016,

    Testing and development of mitigation systems for tertiary blast

    , Blast Injury Science and Engineering A Guide for Clinicians and Researchers, Publisher: Springer, Pages: 249-255, ISBN: 9783319218670

    Biomechanics in blast is a key discipline in blast injury science and engineering that addresses the consequences of high forces, large deformations and extreme failure and thus relates closely to knowledge of materials science (Chap. 3) and ...

  • JOURNAL ARTICLE
    Newell N, Salzar R, Bull AMJ, Masouros SDet al., 2016,

    A validated numerical model of a lower limb surrogate to investigate injuries caused by under-vehicle explosions

    , JOURNAL OF BIOMECHANICS, Vol: 49, Pages: 710-717, ISSN: 0021-9290
  • JOURNAL ARTICLE
    Nolte D, Tsang CK, Zhang KY, Ding Z, Kedgley AE, Bull AMJet al., 2016,

    Non-linear scaling of a musculoskeletal model of the lower limb using statistical shape models

    , JOURNAL OF BIOMECHANICS, Vol: 49, Pages: 3576-3581, ISSN: 0021-9290
  • CONFERENCE PAPER
    Pires Santos e Sousa RDC, Armstrong SP, Sebastiani A, Radyushkin K, Thal S, Franks NP, Dickinson Ret al., 2016,

    THE NOBLE GAS XENON REDUCES SECONDARY INJURYAND IMPROVES LONG-TERM LOCOMOTOR FUNCTION AFTER TRAUMATIC BRAIN INJURY IN RODENTS

    , 27th International Symposium on Cerebral Blood Flow, Metabolism and Function / 12th International Conference on Quantification of Brain Function with PET, Publisher: SAGE PUBLICATIONS INC, Pages: 308-309, ISSN: 0271-678X
  • JOURNAL ARTICLE
    Reichenbach CS, Braiman C, Schiff ND, Hudspeth AJ, Reichenbach Tet al., 2016,

    The Auditory-Brainstem Response to Continuous, Non-repetitive Speech Is Modulated by the Speech Envelope and Reflects Speech Processing

    , FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, Vol: 10, ISSN: 1662-5188
  • JOURNAL ARTICLE
    Spurrier E, Gibb I, Masouros S, Clasper Jet al., 2016,

    Identifying Spinal Injury Patterns in Underbody Blast to Develop Mechanistic Hypotheses

    , SPINE, Vol: 41, Pages: E268-E275, ISSN: 0362-2436
  • JOURNAL ARTICLE
    Villette CC, Phillips ATM, 2016,

    Informing phenomenological structural bone remodelling with a mechanistic poroelastic model

    , BIOMECHANICS AND MODELING IN MECHANOBIOLOGY, Vol: 15, Pages: 69-82, ISSN: 1617-7959
  • JOURNAL ARTICLE
    Warren RL, Ramamoorthy S, Ciganovic N, Zhang Y, Wilson TM, Petrie T, Wang RK, Jacques SL, Reichenbach T, Nuttall AL, Fridberger Aet al., 2016,

    Minimal basilar membrane motion in low-frequency hearing

    , PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, Vol: 113, Pages: E4304-E4310, ISSN: 0027-8424
  • JOURNAL ARTICLE
    Webster C, Clasper J, Masouros S, 2016,

    Pelvic Fracture and Posture at the time of injury: The potential for mitigation strategies and improving survivability

    , BRITISH JOURNAL OF SURGERY, Vol: 103, Pages: 91-91, ISSN: 0007-1323
  • JOURNAL ARTICLE
    Arora H, Tarleton E, Li-Mayer J, Charalambides MN, Lewis Det al., 2015,

    Modelling the damage and deformation process in a plastic bonded explosive microstructure under tension using the finite element method

    , COMPUTATIONAL MATERIALS SCIENCE, Vol: 110, Pages: 91-101, ISSN: 0927-0256
  • JOURNAL ARTICLE
    Bonner TJ, Newell N, Karunaratne A, Pullen AD, Amis AA, Bull AMJ, Masouros SDet al., 2015,

    Strain-rate sensitivity of the lateral collateral ligament of the knee

    , JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS, Vol: 41, Pages: 261-270, ISSN: 1751-6161
  • JOURNAL ARTICLE
    Butler BJ, Bo C, Boddy RL, Arora H, Williams A, Proud WG, Brown KAet al., 2015,

    Composite nature of fresh skin revealed during compression

    , Bioinspired, Biomimetic and Nanobiomaterials, Vol: 4, Pages: 133-139, ISSN: 2045-9858
  • JOURNAL ARTICLE
    Campos-Pires R, Armstrong SP, Sebastiani A, Luh C, Gruss M, Radyushkin K, Hirnet T, Werner C, Engelhard K, Franks NP, Thal SC, Dickinson Ret al., 2015,

    Xenon Improves Neurologic Outcome and Reduces Secondary Injury Following Trauma in an In Vivo Model of Traumatic Brain Injury

    , CRITICAL CARE MEDICINE, Vol: 43, Pages: 149-158, ISSN: 0090-3493
  • JOURNAL ARTICLE
    Cleather DJ, Bull AMJ, 2015,

    The development of a segment-based musculoskeletal model of the lower limb: introducing FreeBody.

    , R Soc Open Sci, Vol: 2, ISSN: 2054-5703

    Traditional approaches to the biomechanical analysis of movement are joint-based; that is the mechanics of the body are described in terms of the forces and moments acting at the joints, and that muscular forces are considered to create moments about the joints. We have recently shown that segment-based approaches, where the mechanics of the body are described by considering the effect of the muscle, ligament and joint contact forces on the segments themselves, can also prove insightful. We have also previously described a simultaneous, optimization-based, musculoskeletal model of the lower limb. However, this prior model incorporates both joint- and segment-based assumptions. The purpose of this study was therefore to develop an entirely segment-based model of the lower limb and to compare its performance to our previous work. The segment-based model was used to estimate the muscle forces found during vertical jumping, which were in turn compared with the muscular activations that have been found in vertical jumping, by using a Geers' metric to quantify the magnitude and phase errors. The segment-based model was shown to have a similar ability to estimate muscle forces as a model based upon our previous work. In the future, we will evaluate the ability of the segment-based model to be used to provide results with clinical relevance, and compare its performance to joint-based approaches. The segment-based model described in this article is publicly available as a GUI-based Matlab® application and in the original source code (at www.msksoftware.org.uk).

  • JOURNAL ARTICLE
    Del Linz P, Hooper PA, Arora H, Smith D, Pascoe L, Cormie D, Blackman BRK, Dear JPet al., 2015,

    Reaction forces of laminated glass windows subject to blast loads

    , Composite Structures, Vol: 131, Pages: 193-206, ISSN: 1879-1085

    Several blast trials on laminated glass windows have been performed in the past, using both full field 3D Digital Image Correlation and strain gauges located on the supporting structure to collect information on the glass pane behaviour. The data obtained during three blast experiments were employed to calculate reaction forces throughout the perimeter supports both before and after the fracture of the glass layers. The pre-crack experimental data were combined with finite element modelling results to achieve this, whilst solely experimental results were employed for post-cracked reactions. The results for the three blast experiments were compared to identify similarities in their behaviour. It is intended that the results can be used to improve the existing spring–mass systems used for the design of blast resistant windows.

  • JOURNAL ARTICLE
    Ding Z, Nolte D, Tsang CK, Cleather DJ, Kedgley AE, Bull AMet al., 2015,

    In Vivo Knee Contact Force Prediction Using Patient-Specific Musculoskeletal Geometry in a Segment-Based Computational Model.

    , Journal of Biomechanical Engineering-Transactions of the ASME, Vol: 138, ISSN: 0148-0731

    Segment-based musculoskeletal models allow the prediction of muscle, ligament and joint forces without making assumptions regarding joint degrees of freedom. The dataset published for the "Grand Challenge Competition to Predict In Vivo Knee Loads" provides directly-measured tibiofemoral contact forces for activities of daily living. For the "Sixth Grand Challenge Competition to Predict In Vivo Knee Loads", blinded results for "smooth" and "bouncy" gait trials were predicted using a customised patient-specific musculoskeletal model. For an unblinded comparison the following modifications were made to improve the predictions: • further customisations, including modifications to the knee centre of rotation; • reductions to the maximum allowable muscle forces to represent known loss of strength in knee arthroplasty patients; and • a kinematic constraint to the hip joint to address the sensitivity of the segment-based approach to motion tracking artefact. For validation, the improved model was applied to normal gait, squat and sit-to-stand for three subjects. Comparisons of the predictions with measured contact forces showed that segment-based musculoskeletal models using patient-specific input data can estimate tibiofemoral contact forces with root mean square errors (RMSEs) of 0.48-0.65 times body weight (BW) for normal gait trials. Tibiofemoral contact force patterns were estimated with an average coefficient of determination of 0.81 and with RMSEs of 0.46-1.01 times BW for squatting and 0.70-0.99 times BW for sit-to-stand tasks. This is comparable to the best validations in the literature using alternative models.

  • BOOK CHAPTER
    Halewood C, Masouros S, Amis AA, 2015,

    Structure and function of the menisci

    , Meniscal Allograft Transplantation. A comprehensive review., Editors: Getgood, Spalding, Cole, Gersoff, Verdonk, ISBN: 978-0-9558873-5-2
  • BOOK CHAPTER
    Masouros S, Halewood C, Bull A, Amis Aet al., 2015,

    Biomechanics

    , Expertise orthopadie und unfallchirurgie: Knie, Editors: Kohn, ISBN: 978-3-1317500-1-3

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