Next-generation characterization of movement and musculoskeletal exposures

有意义和创新的生物力学和生物医学工程研究取决于对人类行为和生理信号的稳健和准确的测量。生物力学评估的最关键方面涉及身体运动或运动学，以及实现该运动的肌肉激活策略。我们目前的动作捕捉和肌电图系统已经过时，无法使用，并且明显不如现代系统，必须更换，以便我们的程序保持我们在生物力学研究中的领导地位。该设备提案要求提供资金，以支持购置一个综合生物信号系统，该系统能够同步收集各种保真度水平的运动和肌肉招募数据，并用于一系列实验室和实地调查。该系统包括最先进的、精确的光学和惯性运动跟踪功能，沿着灵活的肌电图功能，可进行常规表面、留置和HD-EMG测量。这些功能在单源解决方案中得到协调，该解决方案能够对信号质量进行真实的评估、同步、对感兴趣的一次和导数值进行可视化，包括对科学共识措施进行自动计算。该生物信号系统代表了数据流连接的一次飞跃，为共同申请人和滑铁卢大学之间的高级合作开辟了许多可能性。组织损伤途径，辅助设备设计，环境设计，软机器人利用，神经肌肉骨骼功能的年龄相关的变化，沿着复杂的人体力学的基础研究中出现的问题是可寻址的拟议系统。在运动学，机械，系统和生物医学工程四个独立的高度成功的研究计划将汇聚使用该设备来处理广泛的主题，并扩大在生物力学领域的跨学科研究。将科学和工程的原理结合起来，以追求新技术，并提高对人类与这些技术相互作用的理解，具有变革性的力量。交叉授粉将创造一个包容和广阔的环境，以帮助产生广泛培训的HQP，以发展特别相关的技能，在工业，学术研究和公共部门取得成功，以防止整个社会的残疾和组织损伤。计划中的许多合作主题的有意义的进展取决于高质量的数据，而获取这些数据需要一个新的生物信号收集系统。这一紧迫的催化剂对于维持和加速共同申请人在生物力学和生物医学工程领域的全面创新研究愿景至关重要。

Meaningful and innovative biomechanical and biomedical engineering research depends on the robust and accurate measurement of human behaviours and physiological signals. The most critical aspects of biomechanical assessment relate to body motion, or kinematics, and muscular activation strategies to achieve that motion. Our current motion capture and electromyography systems are obsolete, unserviceable, and markedly inferior to modern systems and must be replaced in order for our programs to maintain our leadership positions in biomechanical research. This equipment proposal requests funds to support the acquisition of an integrated biosignal system that is capable of synchronized collection of motion and muscular recruitment data, at various levels of fidelity and for a range of laboratory and field investigations. The system includes state-of-the-art, precise optical and inertial motion tracking capabilities, along with a flexible electromyography capability that enables regular surface, indwelling, and HD-EMG measurements. These capabilities are harmonized within a single-source solution that enables real time evaluation of signal quality, synchronization, visualization of primary and derivative values of interest, including automated calculation of scientific consensus measures. The biosignal system represents a quantum leap forward in connectivity of data streams and opens many possibilities for advanced collaborations between the co-applicants and across the University of Waterloo. Emergent questions in tissue damage pathways, assistive device design, environmental design, soft robotics utilization, age-related changes in neuromusculoskeletal function, along with fundamental research on intricate human body mechanics  are addressable with the proposed system. Four independently highly-successful research programs in kinesiology, mechanical, systems, and biomedical engineering will converge to use this equipment to approach a vast range of topics and expand cross-disciplinary research in the biomechanics realm. Merging principles of science and engineering to pursue new technologies and improved understanding of the interaction of humans with these technologies has transformational power. The cross-pollination will create an inclusive and expansive environment to help produce broadly trained HQP to develop exceptionally relevant skills to succeed in industry, academic research, and in the public sector to prevent disability and tissue damage across society. Meaningful progress on the many collaborative themes planned depends on high quality data, and acquiring such data requires a new biosignal collection system. This urgent catalyst is imperative to maintain and accelerate the full scope of innovative research visions of the co-applicants in the biomechanics and biomedical engineering fields.