一个基于单个传感器的可穿戴声谱系统
Xiaoxiang Gao1,2, Xiangjun Chen3,2, Muyang Lin1,2
1Aiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, USA.
概括
这项研究引入了一种紧的可穿戴声谱系统,用于监测肌肉活动. 该设备可以使用超声波技术准确,长期无线跟踪肌肉运动和手势.
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
- 超声波成像 超声波成像
背景情况:
- 可穿戴式电肌图 (EMG) 提供肌肉活动检测,但信号质量和分辨率较低.
- 现有的声谱系统经常使用重,耗电量大的传感器阵列,阻碍了移动性.
研究的目的:
- 开发一个完全集成的,单个传感器可穿戴的声谱系统,用于不引人注目的肌肉监测.
- 为了证明系统对肌肉活动和手势的长期无线跟踪能力.
主要方法:
- 设计了一个可穿戴系统,配有定制单个超声波传感器,无线数据处理和集成电池.
- 应用该系统来监测隔膜活动以识别呼吸模式.
- 开发了一个深度学习算法,以将超声波数据与前臂肌肉活动相关联,用于手势跟踪.
主要成果:
- 可穿戴系统提供了准确的长期无线肌肉监测.
- 通过跟踪隔膜活动,成功识别了不同的呼吸模式.
- 使用深度学习实现了13个手关节的连续跟踪,平均误差为7.9°.
结论:
- 开发的单个传感器可穿戴声谱系统克服了以前技术的局限性.
- 这项技术使先进的健康监测,身体运动跟踪和人机交互成为可能.
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