从高密度表面推断电机单元的位置EMG.
Jonathan Lundsberg1, Anders Björkman2, Nebojsa Malesevic3
1Department of Biomedical Engineering, Faculty of Engineering, Lund University, Lund, Sweden. jonathan.lundsberg@bme.lth.se.
Scientific reports
|February 15, 2024
概括
一种新方法使用高密度表面电肌学 (HDsEMG) 准确估计机动单元区域中心. 这项技术绘制了肌肉纤维活动的地图,有助于评估神经损伤后的运动功能的恢复.
科学领域:
- 生物医学工程 生物医学工程
- 神经科学是一个神经科学.
- 运动学 运动学
背景情况:
- 了解肌肉纤维活动分布对于神经系统受伤后的康复至关重要.
- 目前评估运动功能恢复的方法可能有限.
研究的目的:
- 开发和验证一种使用高密度表面电肌图 (HDsEMG) 估计动力单元领土中心的新型自动方法.
- 绘制运动单元活动的空间分布图,以更好地评估运动功能.
主要方法:
- 应用主要组件压缩和高斯表面适应HDSEMG数据.
- 通过将估计的运动单元中心位置与肌内EMG记录和超声波深度测量进行比较,验证了该方法.
- 在特定肌肉收缩期间利用直接的HDsEMG分解和局部化.
主要成果:
- 该方法准确地估计了动力单元中心深度,平均值与第一个数据集中的肌肉内电极深度密切匹配.
- 使用第二个数据集,在前臂肌肉中确定了运动单元活动的明显空间分布.
- 证明了根据运动单元活动在3D和2D视图中区分肌肉区域的能力.
结论:
- 已经提出了一个强大的,自动的方法来估计来自HDsEMG的动力单元中心位置.
- 该技术揭示了肌肉纤维活动的移动空间分布,为运动单元级肌肉评估提供了一种新方法.
- 这种方法有可能用于指导治疗和评估临床环境中的运动恢复.
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