强迫振荡呼吸阻力监测仪数据分析验证准则

Data Analysis Validation Criterion in Respiratory Impedance Monitor Based on Forced Oscillation Technique

研究了强迫振荡呼吸阻力监测仪的数据分析模块。以最优线性近似法为理论基础,结合互相干法等数据处理方法,将采集得到的原始压力和原始流量信号经过数据处理后得到呼吸阻力、呼吸阻抗、呼吸电抗和呼吸顺应性参数指标,以反映人体的肺部状况信息。通过改进的Pwelch算法计算得到相干系数作为测试数据是否有效的准则,相干系数的阈值为0.95,大于或等于0.95为有效数据。数据分析验证准则通过Matlab仿真实验验证了算法的准确性,实验测试误差为0.000 1～0.000 2。

The data analysis module is designed for respiratory impedance monitor which is based on Forced Oscillation Technique： combining the optimal linear approximation method with the correlation method. The lung status can be reflected by parameters of respiratory resistance, respiratory reactance and respiratory compliance which were processed by collecting original press and flow signal of the pipeline. Coherence coefficient calculated by modified Pwelch algorithm is an effect criteria in the test, the threshold is equal to O. 95. The accuracy of data analysis validation criterion can be verified by Matlab simulation. Test error is 0. 000 1 -0. 000 2.