Concurrent EMG and EEG Analysis for Quantitative Motor Assessment

用于定量运动评估的同步肌电图和脑电图分析

• 批准号: 538323-2019
• 负责人: Scheme, Erik
• 金额: $ 1.82万
• 依托单位: University of New Brunswick
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=680387
• 关键词: Concurrent; EMG; EEG; Analysis; Quantitative

Rehabilitation from injury or disease can be a complex and difficult task. Many current clinical tests of motor function assume at least some level of function, leaving many patients unable to observe progress, especially in the initial phases of rehabilitation. In this work, we aim to combine two different physiological measurements; EEG from the brain using HTC's revolutionary new M-Score, and EMG from the peripheral nervous system leveraging UNBs world leading expertise in the field. The combination of these approaches will help to better guide clinicians and patients through the rehabilitation process with objective and diagnostic biofeedback. The results of this work will strengthen HTCs ability to deliver best-in-class non-invasive brain vital sign and motor function monitoring and pave the way for future bi-coastal collaboration.

从受伤或疾病中康复是一项复杂而艰巨的任务。目前许多运动功能的临床测试假设至少有一定程度的功能，使许多患者无法观察到进展，特别是在康复的初始阶段。在这项工作中，我们的目标是结合两种不同的生理测量；脑电图来自HTC的革命性的新M-Score， EMG来自周围神经系统利用UNBs在该领域的世界领先的专业知识。这些方法的结合将有助于更好地指导临床医生和患者通过客观和诊断性生物反馈的康复过程。这项工作的结果将加强htc提供一流的非侵入性脑生命体征和运动功能监测的能力，并为未来的两岸合作铺平道路。