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相关实验视频

Updated: Sep 13, 2025

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
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开源,MRI兼容的握力传感器用于动态肌肉成像.

Sabine Räuber1,2, Regina Schlaeger3,4, Marta Brigid Maggioni5,6

  • 1Department of Biomedical Engineering, Basel Muscle MRI (BAMM), University of Basel, Basel, Switzerland. sabine.raeuber@unibas.ch.

Magma (New York, N.Y.)
|July 25, 2025
PubMed
概括
此摘要是机器生成的。

研究人员开发了一个开源的,低成本的,MRI兼容的握力传感器. 该设备可以在动态MRI与神经肌肉电刺激 (NMES) 期间准确测量肌肉力量.

关键词:
通过3D打印打印3D打印.电刺激是一种电刺激.这就是为什么MRI是MRI.肌肉 肌肉 肌肉 肌肉

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科学领域:

  • 生物医学工程 生物医学工程
  • 医疗成像医学成像
  • 神经科学是一个神经科学.

背景情况:

  • 与神经肌肉电刺激 (NMES) 同步的动态MRI对于评估肌肉活动非常有价值.
  • 精确的肌肉动态相关性需要MRI兼容的力传感器.
  • 现有的传感器通常是昂贵的,不兼容MR或使用专有软件.

研究的目的:

  • 为了介绍一个开源的,低成本的,MRI兼容的抓地力传感器.
  • 为MRI应用提供了昂贵的商业力传感器的可行替代方案.

主要方法:

  • 幻影测量在3TMRI中,以评估传感器兼容性和对图像质量的影响 (SNR,B0均性).
  • 将力传感器集成到使用NMES的动态MRI设置中.
  • 在四个人类受试者身上进行了体内测试.

主要成果:

  • 传感器显示出良好的MRI兼容性,对SNR和B0均性的影响最小.
  • 使用NMES和传感器的动态MRI成功地使用相对照MRI检索了肌肉速度场.
  • 在动态评估期间,图像质量得到了维护.

结论:

  • 开发的握力传感器是开源的,包括设计,施工说明和软件.
  • 这便于适应各种需要在MRI扫描仪内记录握力的应用.