Integrating Multi-Modality Imaging and Biodynamic Measurements for Studying Neck Biomechanics During Sustained-till-Exhaustion Neck Exertions
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2017/09/01
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Description:Neck musculoskeletal disorders have been associated with various occupational tasks, in particular tasks that require non-neutral sustained exertions. To gain a clear understanding of the neck biomechanics during such exertions, we have recently initiated an unprecedented integration of multi-modality state-of-the-art measurement procedures including dynamic radiographic imaging, surface-based motion capture, electromyography, computed tomography and magnetic resonance imaging. This paper describes an overview of our systematic, integrative efforts of in vivo biodynamic measurements during sustained-till- exhaustion neck exertions and multi-modality imaging data, and how such an integrated database can be used to construct subject-specific neck musculoskeletal models. A complete dataset of one participant is presented to illustrate the acquired data. In the next phase, subject-specific 'what-if' computer simulations will be implemented to understand the mechano-physiological effects of sustained-till-exhaustion neck exertions for different work scenarios and worker characteristics in order to derive effective injury prevention and intervention strategies. [Description provided by NIOSH]
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ISBN:9780945289531
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ISSN:1541-9312
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Volume:61
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Issue:1
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NIOSHTIC Number:nn:20051120
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Citation:Proceedings of the Human Factors and Ergonomics Society 61st Annual Meeting, October 9-13, 2017, Austin, Texas. Santa Monica, CA: Human Factors and Ergonomics Society, 2017 Sep; 61(1):986-990
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Contact Point Address:Xudong Zhang, Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX 77843
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Email:xudongzhang@tamu.edu
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Federal Fiscal Year:2017
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Performing Organization:Texas Engineering Experiment Station
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Peer Reviewed:True
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Start Date:20150901
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Source Full Name:Proceedings of the Human Factors and Ergonomics Society 61st Annual Meeting, October 9-13, 2017, Austin, Texas
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End Date:20190831
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Main Document Checksum:urn:sha-512:a9dbaf4c4a63ea0c6af6abf497fbd6edf27c72218faa3b4f11f38f9ed699f407fb122fda395fb9febf36f71b07f94a8dc02e34c32a8c28a7434b6b7b02f13607
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