基于神经网络的螺旋计在线校准设备的概念设计
Vahid Reza Nafisi1, Manouchehr Eghbal1, Nasim Torbati2
1Biomedical Engineering group, Department of Electrical & Information Technology, Iranian Research Organization for Science and Technology, Tehran, Iran.
Journal of biomedical physics & engineering
|June 14, 2023
概括
精确的螺旋计校准对于可靠的肺部诊断至关重要. 这项研究开发了一种使用校准注射器和RBF神经网络的新型设备,提高了校准精度70%.
科学领域:
- 生物医学工程 生物医学工程
- 肺部诊断 肺部诊断 肺部诊断
背景情况:
- 精确的螺旋测量对于诊断呼吸系统疾病至关重要.
- 现有的校准方法可能缺乏临床使用的准确性和充分性.
研究的目的:
- 设计和开发一个精确的装置,用于校准螺旋计.
- 为了提高螺旋计校准的准确性和可靠性.
主要方法:
- 使用校准体积注射器和用于空气流量测量的电路,设计了一种新的校准装置.
- 在注射器活塞上的彩色带和彩色传感器被用来计算空气流量.
- 运用一个辐射基函数 (RBF) 神经网络,用新数据来完善估计函数.
主要成果:
- 开发的设备显示了校准准确度的显著提高.
- 校准曲线的平方根平均误差从13.7±0.37%减少到4.2±0.22%.
- 这意味着校准曲线的准确性和可靠性大约提高了70%.
结论:
- 新型螺旋计校准装置为临床应用提供了更高的精度和可靠性.
- 整合RBF神经网络可以提高肺部诊断仪器的性能.
- 这一进步有助于更准确的呼吸道疾病诊断.
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