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依赖于对人类行为和生理信号的可靠和准确的测量。生物力学评估最关键的方面与身体运动或运动学以及实现该运动的肌肉激活策略有关。我们目前的运动捕捉和肌电图系统已经过时，无法使用，明显落后于现代系统，必须被取代，以便我们的项目在生物力学研究中保持领先地位。该设备提案要求资金支持集成生物信号系统的获取，该系统能够同步收集各种保真度的运动和肌肉招募数据，并用于一系列实验室和现场调查。该系统包括最先进的、精确的光学和惯性运动跟踪功能，以及灵活的肌电图功能，可实现常规表面、留置和高清肌电图测量。这些功能在单一源解决方案中协调一致，实现了信号质量的实时评估、同步、感兴趣的主要和派生值的可视化，包括科学共识测量的自动计算。生物信号系统代表了数据流连接的巨大飞跃，为共同申请者之间和整个滑铁卢大学之间的高级合作开辟了许多可能性。该系统可解决组织损伤途径、辅助装置设计、环境设计、软机器人应用、神经肌肉骨骼功能的年龄相关变化以及复杂人体力学的基础研究等方面的紧急问题。在运动机能学，机械，系统和生物医学工程四个独立的高度成功的研究项目将汇集使用该设备来接近广泛的主题，并扩大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，追求新技术，并提高对人类与这些技术相互作用的理解，具有变革的力量。交叉授粉将创造一个包容和广阔的环境，帮助培养受过广泛训练的HQP，培养在工业、学术研究和公共部门取得成功的特别相关技能，以防止全社会的残疾和组织损伤。计划中的许多合作主题取得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种新的生物信号收集系统。这种迫切的催化剂对于维持和加速生物力学和生物医学工程领域共同申请者的创新研究愿景是必不可少的。

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.