在模拟组织的幽灵中进行非侵入性温度测量,使用固态近红外传感器
Ariel Kauffman1, John Quan Nguyen1, Sanjana Parthasarathy1
1Rockley Photonics Inc., Irvine, CA 92614, USA.
Sensors (Basel, Switzerland)
|June 27, 2024
概括
近红外光谱学为皮肤表面以下的非侵入性体温监测提供了一个有前途的方法. 这项研究证明了使用组织幽灵的可行性,为先进的可穿戴健康技术铺平了道路.
科学领域:
- 生物医学工程 生物医学工程
- 频谱学是一种光谱学.
- 可穿戴技术可穿戴技术
背景情况:
- 目前的可穿戴温度传感器测量皮肤表面温度,皮肤表面温度受环境条件的影响.
- 为了有效的健康监测,需要更准确的生理体温测量.
研究的目的:
- 通过近红外光谱学 (NIRS) 证明非侵入性体温测量的可行性.
- 在受控的体外环境中,开发和评估校准模型,从NIRS数据中预测温度.
主要方法:
- 使用一个可缩小的基于激光二极管的固态激光NIRS光谱仪.
- 在20-24°C之间的温度下,从7个具有不同组成的组织幽灵 (水,凝,内脂) 收集了分散反射光谱.
- 开发了两个部分最小平方 (PLS) 校准模型,以从光谱数据中预测温度.
主要成果:
- 第一个PLS模型 (校准/预测分割) 实现了0.95的确定系数 (R2) 和0.22°C的预测标准误差 (SEP).
- 第二个PLS模型 (leave-one-phantom-out) 在七个幻影特定模型中显示了R2值从0.67-0.99和SEP值从0.19-0.65°C.
- 确定样品与光谱仪接口的稳定性和可重现性作为光谱方差的关键来源.
结论:
- NIRS显示出非侵入性,连续的体温监测的巨大潜力.
- 这项体外研究为开发体内可穿戴温度传感技术提供了坚实的基础.
- 未来的研究应该专注于解决光谱方差,以提高现实应用中的精度.
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