一个可穿戴的织物传感器设备用于子监测和分类
David Zhang1, Wei Li2, Jonathan Chen3
1Walker Department of Mechanical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA. david.zhang@austin.utexas.edu.
Dysphagia
|December 23, 2025
概括
一个新的可穿戴面料传感器在吞时准确地检测喉升高,优于传统的电肌图学. 这项创新提供了一种非侵入性方法来监测吞功能和呼吸道保护.
科学领域:
- 生物力学 生物力学
- 可穿戴技术可穿戴技术
- 吞生理学的吞生理学
背景情况:
- 喉的升高对于在吞时保护呼吸道至关重要.
- 目前的量化方法,如视频光学是有限的.
- 现有的可穿戴设备无法测量喉升高幅度.
研究的目的:
- 推出一种新的可穿戴织物传感器设备,配有针织应变传感器.
- 评估其实时监控和分类吞行为的能力.
- 将其性能与脑下表面肌电图 (sEMG) 进行比较.
主要方法:
- 开发了一种可穿戴的织物传感器设备,配有三个针织应变传感器.
- 在12名健康成年人在吞任务期间记录了来自传感器和sEMG的同时数据.
- 使用K-最近邻居 (KNN) 模型来分类吞事件.
- 通过参与者调查评估设备的舒适性.
主要成果:
- 针织传感器在区分吞和非吞任务时达到0.97的准确性,明显高于sEMG (0.82).
- 综合传感器和sEMG数据为任务分类提供了0.98准确度.
- 传感器在预测特定的吞任务时表现出0.75的准确性,而sEMG则为0.32.
- 参与者报告说,他们对可穿戴设备的不适程度很低 (7.33/100).
结论:
- 针织式应变传感器可以有效地检测吞时的喉运动.
- 这款新型可穿戴设备准确地区分了吞和不吞的行为.
- 这项技术为吞分析提供了一个有希望的,非侵入性的sEMG替代品.
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