A System for Integrated Measurements for Human Movement

人体运动综合测量系统

• 批准号: RTI-2017-00099
• 负责人: Jiang, Ning
• 金额: $ 10.93万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=616554
• 关键词: System; Integrated; Measurements; Human; Movement

The applicants share strong research interests and activities directed toward understanding the underlying cognitive, neural and physical mechanisms of human movement, and in transferring the acquired knowledge to develop novel products and services in areas including, but not limited to, manufacturing, education, healthcare, and sports. Although our research programs in these areas have made tremendous progresses in the past years, we have reached a threshold where a new research tool is imperative. Human movement is the result of an interaction among complex neural and physical processes. However, we only have tools that allow us to investigate one of these processes at a time, either neurophysiological or biomechanical. Consequently, we are largely blind to the other closely linked processes integral to the movements under investigation. As a result, the outputs of our research are isolated and fragmented, which is incomplete, biased and can even be erroneous. To address this problem, we propose to build an integrated measurement system for human movement that incorporates the following sensor modalities: a high-density electromyographic (HD-EMG) amplifier to measure electric activities of the smallest functional units of muscles, motor units (MU); and a state-of-the-art dynamometer to measure joint torque during static and dynamic contractions. This system, integrated with these two measurement modalities, will allow us to analyze inter-linked neural and physical processes of human movement in a systematic and biofidelic manner, as it simultaneously captures the chain of processes underlying human movement from the actuators, i.e. the bursting patterns of the MUs within a muscle and among synergistic muscle group (HD-EMG), to the end-effectors i.e. the torque, velocity produced at different joints and forces at the upper and lower extremities. Further, the system is capable of measuring these signals during both static and dynamic contractions, in a repeatable and consistent manner. In summary, the proposed system is essential and imperative to the establishment of an integrated research platform for human movement analysis, with unprecedented capability. It is estimated that more than 50 HQP will use the system in their training and research over the next 5 years, and more for years to come.

申请人有着强烈的研究兴趣和活动，旨在了解人类运动的潜在认知，神经和物理机制，并将所获得的知识转移到包括但不限于制造，教育，医疗保健和体育在内的领域开发新产品和服务。尽管我们在这些领域的研究项目在过去几年中取得了巨大的进展，但我们已经达到了一个新的研究工具势在必行的门槛。人体运动是复杂的神经和物理过程相互作用的结果。然而，我们只有工具，使我们能够研究这些过程中的一个时间，无论是神经生理学或生物力学。因此，我们在很大程度上看不到与正在调查的运动密切相关的其他进程。因此，我们的研究结果是孤立和零散的，这是不完整的，有偏见的，甚至可能是错误的。为了解决这个问题，我们建议建立一个集成的测量系统，人体运动，包括以下传感器模式：高密度肌电图（HD-EMG）放大器，以测量肌肉，运动单位（MU）的最小功能单位的电活动;和一个国家的最先进的测力计，以测量静态和动态收缩过程中的关节扭矩。该系统与这两种测量模式相结合，将允许我们以系统和生物电的方式分析人类运动的相互关联的神经和物理过程，因为它同时捕获从致动器到末端效应器的人类运动的过程链，即肌肉内和协同肌肉群（HD-EMG）之间的MU的爆发模式，即扭矩，在不同关节处产生的速度和在上下肢处的力。此外，该系统能够在静态和动态收缩期间以可重复和一致的方式测量这些信号。综上所述，该系统是必要的，必须建立一个完整的研究平台，人体运动分析，具有前所未有的能力。据估计，在未来5年内，将有50多名HQP在培训和研究中使用该系统，未来几年还会有更多。