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自校准的脉冲氧度算法基于光子路径长度变化和人类自由潜水者的应用
Jingyi Wu1, J Chris McKnight2, Eva-Maria S Bønnelycke2
1Carnegie Mellon University, Department of Biomedical Engineering, Pittsburgh, Pennsylvania, United States.
Journal of biomedical optics
|December 11, 2023
概括
一个新的自我校准算法准确地估计动脉氧和度 (SpO2) 没有经验校准,即使在低水平. 这种方法通过克服传统脉冲氧计的局限性来改善患者监测.
科学领域:
- 生物医学光学 生物医学光学
- 生理监测是指对身体进行生理监测.
- 医疗器械 医疗器械 医疗器械 医疗器械
背景情况:
- 商业脉冲氧计依赖于经验校准,在低动脉氧和 (SpO2) 水平时限制准确性.
- 准确的,自校准的SpO2估计对于改善患者监测和诊断至关重要.
研究的目的:
- 开发和验证一个自我校准的算法,用于估计 SpO2 在其整个范围,解决校准挑战在低 SpO2.
- 设计一种使用人类受试者数据进行SpO2估计的无校准方法.
主要方法:
- 开发了一种使用扩散光学光谱学和修改的比尔-兰伯特定律 (mBLL) 的自我校准算法.
- 该算法考虑了光子平均路径长度 () 与 SpO2 相关的吸收变化的变化.
- 使用人类自由潜水者的数据验证了算法,将NIRS衍生的SpO2估计与动脉血液气体分析的地面真相测量进行比较.
主要成果:
- 自校准的算法显著超过了常规的mBLL方法,具有恒定的比率.
- 与传统方法相比,通过分析23个基本真实性SpO2数据点 (41%-100%) 实现了和的平均绝对差异.
结论:
- 自校准的算法通过考虑相对于吸收的光谱形状变化来实现准确的SpO2估计.
- 这种方法提供了可靠的SpO2测量,特别是在体验低氧水平的受试者中.
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