基于压力和流量的多传感器融合的鼻腔阻力测量系统
Xiaoqin Lian1,2, Guochun Ma1,2, Chao Gao1,2
1School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.
Micromachines
|August 28, 2025
概括
这项研究引入了使用多传感器融合的新鼻腔阻力测量系统. 它显著提高了检测鼻腔阻塞的准确性和稳定性,为鼻腔疾病提供了更好的诊断支持.
科学领域:
- 生物医学工程
- 耳鼻喉科
背景情况:
- 鼻腔阻塞是一种常见的症状,需要精确的严重程度评估.
- 传统的鼻测术存在干扰,自动化有限,结果不稳定.
研究的目的:
- 开发使用多传感器融合的自动化鼻腔阻力测量系统.
- 提高鼻腔阻力测量的准确性和稳定性.
主要方法:
- 设计了一个用于原始信号采集的硬件和用于信号处理的软件系统.
- 使用多传感器融合压力和流量数据.
- 通过呼吸周期识别和标准偏差分析评估抗干扰性和稳定性.
主要成果:
- 在有效的呼吸周期识别中达到99%的回忆率和86%的精度.
- 在干扰下识别无效的呼吸循环的最大准确率为96. 30%.
- 与未过方法相比,测量结果的变化率降低了5至18倍.
结论:
- 开发的系统提供强大的防干扰能力和增强的自动化.
- 它显著提高了鼻腔阻力测量结果的稳定性.
- 为鼻子疾病的辅助诊断提供了强大的技术支持.
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