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用喉麦克风估计分泌的唾液量的方法

Kai Washino¹, Ayumi Ohnishi¹, Tsutomu Terada¹

¹Graduate School of Engineering, Kobe University, 1-1 Rokkodaicho, Nada, Kobe 657-8501, Japan.

Sensors (Basel, Switzerland)

|June 27, 2025

概括

这项研究引入了一种新的方法,使用可穿戴喉麦克风和深度学习来通过检测吞声音来估计唾液分泌. 这项创新使唾液水平的持续监测成为可能,这对于管理口腔健康状况至关重要.

科学领域:

生物医学工程生物医学工程
口腔健康口腔健康
可穿戴技术可穿戴技术

背景情况:

唾液分泌不足会导致口腔健康问题,如鼻炎和口腔炎.
唾液量每日波动需要持续监测,以便及时进行干预.
目前的方法缺乏持续的唾液测量能力.

研究的目的:

开发一种非侵入性方法,持续估计唾液分泌量.
为了利用可穿戴喉麦克风的声音数据来监测唾液.
解决现有实时唾液评估方法的局限性.

主要方法:

一个深度学习模型被用来分类由喉麦克风捕获的吞声音.
吞事件的分类被用作估计唾液分泌的基础.
该系统在吞检测和唾液量估计方面的准确性得到了评估.

主要成果:

深度学习模型在分类吞声音方面取得了96.96%的高精度.
唾液分泌量的估计表明相关系数 (R) 为0.600.
唾液量估计的平均绝对误差 (MAE) 是0.0487.7.

结论:

拟议的方法为持续的,非侵入性的唾液分泌监测提供了一个有希望的方法.
通过可穿戴技术检测吞声音可以有效估计唾液水平.
这项技术有可能改善与唾液功能障碍相关的疾病的管理.

关键词:

医疗保健医疗保健医疗保健医疗保健口腔环境口腔环境唾液的分泌物唾液的分泌物穿戴式计算是一种可穿戴的计算.

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