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      Gauging force by tapping tendons

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          Abstract

          Muscles are the actuators that drive human movement. However, despite many decades of work, we still cannot readily assess the forces that muscles transmit during human movement. Direct measurements of muscle–tendon loads are invasive and modeling approaches require many assumptions. Here, we introduce a non-invasive approach to assess tendon loads by tracking vibrational behavior. We first show that the speed of shear wave propagation in tendon increases with the square root of axial stress. We then introduce a remarkably simple shear wave tensiometer that uses micron-scale taps and skin-mounted accelerometers to track tendon wave speeds in vivo. Tendon wave speeds are shown to modulate in phase with active joint torques during isometric exertions, walking, and running. The capacity to non-invasively assess muscle–tendon loading can provide new insights into the motor control and biomechanics underlying movement, and could lead to enhanced clinical treatment of musculoskeletal injuries and diseases.

          Abstract

          Mechanical forces exerted on tendons during locomotion cannot be readily measured without invasive methods. Here, the authors develop a non-invasive wearable device to track tendon loads by measuring shear wave propagation speed, and demonstrate its use during dynamic human movements.

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          Most cited references39

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          Supersonic shear imaging: a new technique for soft tissue elasticity mapping

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            Model-based estimation of muscle forces exerted during movements.

            Estimation of individual muscle forces during human movement can provide insight into neural control and tissue loading and can thus contribute to improved diagnosis and management of both neurological and orthopaedic conditions. Direct measurement of muscle forces is generally not feasible in a clinical setting, and non-invasive methods based on musculoskeletal modeling should therefore be considered. The current state of the art in clinical movement analysis is that resultant joint torques can be reliably estimated from motion data and external forces (inverse dynamic analysis). Static optimization methods to transform joint torques into estimates of individual muscle forces using musculoskeletal models, have been known for several decades. To date however, none of these methods have been successfully translated into clinical practice. The main obstacles are the lack of studies reporting successful validation of muscle force estimates, and the lack of user-friendly and efficient computer software. Recent advances in forward dynamics methods have opened up new opportunities. Forward dynamic optimization can be performed such that solutions are less dependent on measured kinematics and ground reaction forces, and are consistent with additional knowledge, such as the force-length-velocity-activation relationships of the muscles, and with observed electromyography signals during movement. We conclude that clinical applications of current research should be encouraged, supported by further development of computational tools and research into new algorithms for muscle force estimation and their validation.
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              Muscle fascicle and series elastic element length changes along the length of the human gastrocnemius during walking and running.

              Ultrasound imaging has recently been used to distinguish the length changes of muscle fascicles from those of the whole muscle tendon complex during real life movements. The complicated three-dimensional architecture of pennate muscles can however cause heterogeneity in the length changes along the length of a muscle. Here we use ultrasonography to examine muscle fascicle length and pennation angle changes at proximal, distal and midbelly sites of the human gastrocnemius medialis (GM) muscle during walking (4.5 km/h) and running (7.5 km/h) on a treadmill. The results of this study have shown that muscle fascicles perform the same actions along the length of the human GM muscle during locomotion. However the distal fascicles tend to shorten more and act at greater pennation angles than the more proximal fascicles. Muscle fascicles acted relatively isometrically during the stance phase during walking, however during running the fascicles shortened throughout the stance phase, which corresponded to an increase in the strain of the series elastic elements (SEEs) (consisting of the Achilles tendon and aponeurosis). Measurement of the fascicle length changes at the midbelly level provided a good approximation of the average fascicle length changes across the length of the muscle. The compliance of the SEE allows the muscle fascicles to shorten at a much slower speed, more concomitant with their optimal speed for maximal power output and efficiency, with high velocity shortening during take off in both walking and running achieved by recoil of the SEE.
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                Author and article information

                Contributors
                dgthelen@wisc.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                23 April 2018
                23 April 2018
                2018
                : 9
                : 1592
                Affiliations
                [1 ]ISNI 0000 0001 2167 3675, GRID grid.14003.36, Department of Materials Science and Engineering, , University of Wisconsin-Madison, ; Madison, WI 53706 USA
                [2 ]ISNI 0000 0001 2167 3675, GRID grid.14003.36, Department of Mechanical Engineering, , University of Wisconsin-Madison, ; Madison, WI 53706 USA
                [3 ]ISNI 0000 0004 1936 8198, GRID grid.34429.38, School of Engineering, , University of Guelph, ; Guelph, ON N1G 2W1 Canada
                [4 ]ISNI 0000 0001 2167 3675, GRID grid.14003.36, Department of Biomedical Engineering, , University of Wisconsin-Madison, ; Madison, WI 53706 USA
                [5 ]ISNI 0000 0001 2167 3675, GRID grid.14003.36, Engineering Physics Department, , University of Wisconsin-Madison, ; Madison, WI 53706 USA
                [6 ]ISNI 0000 0001 2150 1785, GRID grid.17088.36, Department of Mechanical Engineering, , Michigan State University, ; East Lansing, MI 48824 USA
                [7 ]ISNI 0000 0001 2167 3675, GRID grid.14003.36, Department of Orthopedics and Rehabilitation, , University of Wisconsin-Madison, ; Madison, WI 53706 USA
                Article
                3797
                10.1038/s41467-018-03797-6
                5913259
                29686281
                5d8551a8-92d5-456e-90cf-66f7f554ce5f
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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                : 12 November 2017
                : 13 March 2018
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