A high-density electromyography system for non-invasive functional motor unit characterization

用于非侵入性功能运动单位表征的高密度肌电图系统

• 批准号: RTI-2022-00219
• 负责人: LaDelfa, Nicholas
• 金额: $ 5万
• 依托单位: University of Ontario Institute of Technology
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=741771
• 关键词: density; electromyography; system; non; invasive

Surface electromyography (sEMG) is a non-invasive technique that utilizes surface electrodes placed on the skin to record underlying electrical potentials that drive muscle contraction. sEMG has been integral to our understanding of human movement and has important applications in many fields, including robotics, medicine, rehabilitation and ergonomics. Significant advances in EMG sampling and analysis have recently been made, including the bundling of electrodes into high-density grids to exponentially increase the volume of the EMG detection zone to extract a more refined representation of the overall neural drive to a muscle. As such, this RTI proposal is requesting funds for a versatile 384-channel bioelectrical amplifier capable of simultaneously sampling 64-channels of high-density surface EMG (HD-EMG), intramuscular EMG, electroencephalography, force and other biomedical signals central to our respective research programs. This system interfaces with open-source software with sophisticated algorithms that can automatically classify the individual motor unit action potentials that summate to form the sEMG signal. Until recently, this type of motor unit decomposition was only possible using invasive intramuscular EMG, which was not well tolerated by participants and required laborious manual signal processing to isolate the individual motor unit action potentials that comprised the global EMG signal. This equipment will replace essential failing sEMG systems, which has caused tremendous strain and delays on our otherwise productive research programs. Importantly, this infrastructure upgrade will also allow us to remain competitive and on the cutting edge of our respective fields, as HD-EMG recordings and motor unit decomposition are now essential to conduct high-quality neuromuscular research. Within our collaborative Ontario Tech Neuromechanics Research Group, HD-EMG and motor unit decomposition will be used to investigate changes in the neural control of upper limb muscles in response to both experimental perturbations and chronic neuromuscular conditions, and to validate and further develop computational models of motor unit fatigue and recovery for proactive ergonomics work simulation analyses. These types of functional outcomes were not previously possible, and represent an incredible opportunity for our HQP to engage with both fundamental and applied research with high impact. As far as we are aware, our research group would be the only regional users of this HD-EMG technology within 150 km of our institution. As such, we anticipate numerous collaborations with Faculty members within and outside our university community, and have outlined a detailed training and management plan to ensure optimized operation. We welcome these opportunities to further leverage this equipment to make important advances in our field and to provide the best possible training to HQP working with this cutting-edge technology.

表面肌电图（sEMG）是一种非侵入性技术，它利用放置在皮肤上的表面电极来记录驱动肌肉收缩的潜在电位。表面肌电信号是我们对人体运动的理解不可或缺的一部分，在许多领域都有重要的应用，包括机器人、医学、康复和人体工程学。最近在EMG采样和分析方面取得了重大进展，包括将电极捆绑成高密度网格，以指数方式增加EMG检测区域的体积，从而提取对肌肉的整体神经驱动的更精细的表示。因此，该RTI提案要求为多功能384通道生物电放大器提供资金，该放大器能够同时采样64通道高密度表面EMG（HD-EMG），肌内EMG，脑电图，力和其他生物医学信号，这些信号对我们各自的研究计划至关重要。该系统与具有复杂算法的开源软件相连接，该算法可以自动分类汇总形成sEMG信号的单个运动单元动作电位。直到最近，这种类型的运动单位分解只能使用侵入性肌内EMG，参与者不能很好地耐受，并且需要费力的手动信号处理来隔离构成全局EMG信号的单个运动单位动作电位。这种设备将取代基本的失败sEMG系统，这已经造成了巨大的压力和延误，我们的其他生产力的研究计划。重要的是，这一基础设施升级还将使我们保持竞争力，并在各自领域保持领先地位，因为HD-EMG记录和运动单元分解现在对于进行高质量的神经肌肉研究至关重要。在我们的合作安大略技术神经力学研究小组，HD-EMG和运动单位分解将被用来调查的上肢肌肉的神经控制在实验扰动和慢性神经肌肉条件下的变化，并验证和进一步开发计算模型的运动单位疲劳和恢复积极的人体工程学工作模拟分析。这些类型的功能性成果在以前是不可能的，这对我们的HQP来说是一个难以置信的机会，可以参与具有高影响力的基础和应用研究。据我们所知，我们的研究小组将是我们机构150公里范围内唯一的HD-EMG技术区域用户。因此，我们期待与大学社区内外的教职员工进行大量合作，并概述了详细的培训和管理计划，以确保优化运营。我们欢迎这些机会，以进一步利用这些设备，使我们的领域取得重要进展，并提供最好的培训，以HQP与这一尖端技术的工作。