{'fraction_non_alphanumeric': 0.02507598784194529, 'fraction_numerical': 0.0, 'mean_word_length': 6.19672131147541, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Integrating Multi-Modality Imaging and Biodynamic Measurements for Studying Neck Biomechanics During Sustained-Till-Exhaustion Neck Exertions

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.