MRI: Acquisition of Motion Capture/Analysis System (MCAS) for Leading-edge Research and Teaching

该主要研究仪器（MRI）奖将支持运动捕捉/分析系统（MCAS）的采购，用于医学、体育和职业安全领域复杂身体运动分析的前沿研究和教育。该仪器将加强跨学科研究，并支持SIU工程和应用健康研究生课程。作为动力学、控制和生物力学研究的重要工具，它将成为一个重要的区域资源，服务于伊利诺伊州西南部和密苏里州东部。MCAS将整合到SIU的本科研究项目中，并将成为SIU和圣路易斯大都会地区机构的核心研究和教育平台。MCAS提供了一个综合的平台，用于数据收集、分析和建模不同肌肉群施加的力，并应用于踝关节、膝关节和髋关节。这些数据对于预防肌肉骨骼疾病和确定损伤机制以及减少损伤风险的方法的研究项目至关重要。MCAS将能够进行复杂的身体运动分析，形成改进建模和仿真的基础，并导致改进的物理治疗和训练计划。例如，该仪器将使研究人员能够分析运动学步态模式，测量肌肉激活模式，并收集动力学数据，这些数据将与运动学数据相结合，以计算施加在脚踝，膝盖和髋关节上的负荷，并为生物力学步态分析开发增强模型。该仪器与表面肌电图一起，还将用于收集和分析外科医生进行微创手术时的身体运动和肌肉激活数据。该仪器将能够检测肌肉疲劳和脆弱肌肉群的疲劳时间-推进基本疲劳分析研究并确定肌肉疲劳对手术性能的影响。这种关于疲劳时间的实时反馈将为外科医生提供关键信息，提高他们的手术表现，减少有害的错误。再加上研究团队在工程，建模，肥胖和运动生理学方面的广泛专业知识，该MCAS的收购将为推进复杂身体运动分析和潜在干预的基础研究提供关键资源，以提高人类表现和减少伤害。

This Major Research Instrumentation (MRI) award will support the acquisition of a motion capture/analysis system (MCAS) for leading-edge research and education on complex body movement analysis in medicine, sports and occupational safety. The instrumentation will bolster interdisciplinary research and support SIU graduate programs in Engineering and Applied Health. An essential tool for research in dynamics, controls, and biomechanics, it will be an important regional resource, serving the Southwestern Illinois and Eastern Missouri. The MCAS will be integrated into SIU's undergraduate research programs and will be a core research and educational platform for SIU and institutions in the St. Louis metropolitan area.The MCAS provides a comprehensive platform for data collection, analysis, and modeling of the forces exerted by different muscle groups and that are being applied to ankle, knee, and hip joints. These data are critical to research projects on preventing musculoskeletal disorders and determining injury mechanisms and ways to minimize the risk of injury. The MCAS will enable complex body movement analysis, forming the basis for improved modeling and simulation and leading to improved physical therapy and training programs. For example, the instrumentation will enable researchers to analyze kinematic gait patterns, measure muscle activation patterns, and collect kinetic data, which will be combined with the kinematic data to calculate the load being applied to the ankle, knee, and hip joints and develop enhanced models for biomechanical gait analysis. The instrumentation, along with surface electromyography, will also be used to collect and analyze data on body movement and muscle activation of surgeons performing minimally invasive surgery. The instrumentation will enable the detection of muscle fatigue and the time-to-fatigue in vulnerable muscle groups-- to advance fundamental fatigue analysis research and determine the impact of muscle fatigue on surgical performance. Such real-time feedback on time-to-fatigue will provide crucial information to surgeons, enhancing their surgical performance and reducing harmful errors. Coupled with the breadth of expertise of the research team-- in engineering, modeling, obesity and exercise physiology-- the acquisition of this MCAS will provide a key resource for advancing fundamental research on complex body movement analysis and potential interventions to enhance human performance and reduce injury.