MRI: Development of an exoskeleton for simultaneous assessment of brain, muscular, and nervous system output during functional arm and hand tasks

MRI：开发外骨骼，用于在手臂和手部功能性任务期间同时评估大脑、肌肉和神经系统的输出

• 批准号: 1532239
• 负责人: Joel Perry
• 金额: $ 108.48万
• 依托单位: Regents of the University of Idaho
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1532239&HistoricalAwards=false
• 关键词: MRI; Development; exoskeleton; simultaneous; assessment

The development of a new instrument for simultaneous assessment of brain, muscular, and nervous system output during functional arm and hand tasks will provide unprecedented insight into the inner workings of arm and hand function, including movement intention and movement performance. The developed BiLateral Upper-extremity Exoskeleton for Simultaneous Assessment of Biomechanical and Neuromuscular Output (BLUE SABINO) would be the first of its kind with the ability to record extensive metrics from both left and right hemispheres of the brain, muscle activation patterns, and movement of both left and right arms simultaneously. Particularly evident in populations with neuromuscular impairment, there is a gap in our current knowledge between the action potentials generated by the brain and the resulting movements generated by the muscles. This Major Research Instrumentation award will address this gap by facilitating a better understanding of arm function along the full neuromuscular pathway from thought to action. BLUE SABINO will also enable further study on a variety of cutting-edge research areas from brain-computer-interfaces and virtual environment simulation to advanced control of industrial and medical robotics. BLUE SABINO will combine the mechanical precision and repeatability of a 28 degree-of-freedom (DOF) dual-arm exoskeleton, with existing high-end acquisition systems for collecting electroencephalographic (EEG) and electromyographic (EMG) data from the brain and neuromuscular system, as well as processing algorithms to compute general assessment metrics. The exoskeleton components will allow natural reach and grasp movements through two 14-DOF (12 active, 2 passive) wearable arms. EEG and EMG acquisition will be performed with at least 32 and 64 channels, respectively, per side. Together, the instrument will provide a groundbreaking, holistic instrument for quantitative assessment and evaluation of arm function not currently possible. Acquisition of biometric data from both left and right sides of the body will allow evaluation of unilateral and bimanual activities of daily living (ADL), as well as a means of monitoring and evaluating task performance for both healthy and impaired users. The comprehensive assessment capacity will enable transformative research across a wide spectrum of domains including: functional outcome assessment, computation and planning of targeted therapeutic approaches, advanced therapy/response correlations, novel brain-machine-body rehabilitation paradigms, and development and optimization of brain-computer interfaces (BCIs) and brain-controlled neuroprosthetics.This award is supported by the Engineering Directorate's Civil, Mechanical and Manufacturing Innovation (CMMI) Division along with the Chemical, Bioengineering, Environmental, and Transport Systems (CBET) Division.

开发一种新的仪器，用于在功能性手臂和手部任务期间同时评估大脑，肌肉和神经系统输出，将为手臂和手部功能的内部工作提供前所未有的洞察力，包括运动意图和运动表现。开发的用于同时评估生物力学和神经肌肉输出的双侧上肢外骨骼（BLUE SABINO）将是同类产品中的第一个，能够同时记录大脑左右半球的广泛指标，肌肉激活模式以及左右手臂的运动。在神经肌肉损伤的人群中尤其明显，我们目前的知识在大脑产生的动作电位和肌肉产生的运动之间存在差距。这项主要研究仪器奖将通过促进更好地理解手臂功能沿着从思想到行动的完整神经肌肉通路来解决这一差距。BLUE SABINO还将进一步研究各种前沿研究领域，从脑机接口和虚拟环境模拟到工业和医疗机器人的先进控制。BLUE SABINO将联合收割机结合28自由度（DOF）双臂外骨骼的机械精度和可重复性，与现有的高端采集系统，用于从大脑和神经肌肉系统收集脑电图（EEG）和肌电图（EMG）数据，以及处理算法来计算一般评估指标。外骨骼组件将允许通过两个14自由度（12个主动，2个被动）可穿戴手臂进行自然伸展和抓握运动。将分别使用每侧至少32和64个通道进行EEG和EMG采集。总之，这一工具将为目前无法实现的手臂功能定量评估和评价提供一个开创性的综合工具。从身体的左侧和右侧采集生物特征数据将允许评估日常生活（ADL）的单侧和双手活动，以及监测和评估健康和受损用户的任务表现的手段。全面的评估能力将使变革性研究跨越广泛的领域，包括：功能结果评估、有针对性的治疗方法的计算和规划、先进的治疗/反应相关性、新颖的脑-机-体康复范例、脑-机接口（BCI）和脑控神经修复术的开发和优化。该奖项由工程理事会的土木工程，机械和制造创新（CMMI）部门沿着化学、生物工程、环境和运输系统（CBET）部门。