一个可穿戴的多式传感器,用于同时和同处进行肌肉电生理和机械监测
Peng Wang1, Jixiao Liu1, Song Gao1
1School of Mechanical Engineering, Hebei University of Technology, Tianjin, China.
Advanced healthcare materials
|February 12, 2026
概括
这项研究引入了一种新的可穿戴传感器,用于同时记录肌肉电气和机械信号. 该设备为各种应用中精确的神经机械合分析提供了一个简化,稳定的平台.
科学领域:
- 生物医学工程 生物医学工程
- 可穿戴技术可穿戴技术
- 神经科学是一个神经科学.
背景情况:
- 精确的神经机械合需要同时获得电气和机械肌肉信号.
- 现有的多设备方法遭受非同时记录,空间错位,和复杂的设置.
- 这些局限性阻碍了数据完整性,并使肌肉监测复杂化.
研究的目的:
- 开发一种可穿戴的多式传感器,用于同时获取表面电肌图 (sEMG),表面肌压 (SMP) 和机械肌图 (MMG).
- 通过提供单一的综合传感解决方案来解决现有方法的局限性.
- 为了研究和临床应用,实现强大的和简化的肌肉监测.
主要方法:
- 设计了一种新的可穿戴多式传感器,使用单一的传感材料和集成结构.
- 传感器同时从相同的解剖位置记录sEMG,SMP和机械图 (MMG).
- 系统性能被评估为稳定性,可重复使用性,信号噪声比 (SNR) 和机械特性 (检测极限,压力范围,响应时间).
主要成果:
- 开发的系统实现了高SNR (27.4 dB) 和可用于电生理学记录的可重复使用性.
- 通过低检测极限 (≈25 Pa),广泛的压力范围 (0-320 kPa) 和快速响应时间 (≈16 ms) 证明了出色的机械性能.
- 在炼,疲劳和康复场景中对系统的验证证实了其强大捕捉肌肉神经机械动态的能力.
结论:
- 这项工作介绍了一种高性能,简化的可穿戴平台,用于同时监测肌肉的电力和机械.
- 该传感器克服了以前的局限性,为研究神经机械合提供了稳定而准确的解决方案.
- 这项技术在康复机器人和人机接口等领域具有很大的应用潜力.
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