摘要： 研究智能人工呼吸床系统和呼吸同步智能控制算法，提出基于司法消噪的呼吸周期预测算法。针对信号处理消噪方法的不足，在时间序列消噪中引入司法处理过程，提出一种包含新到数据初判、可疑噪声审查、噪声确定处理、法规修订完善等消噪机制的司法消噪算法。介绍关键参数λ的优化选取方法，与傅里叶变换消噪方法进行仿真实验对比，结果表明该算法实现了对时间序列噪声和新稳态的处理，保留了数据原始信息。

关键词: 智能人工呼吸床, 吸周期预测, 法消噪, 里叶变换, 能控制

Abstract: This paper studies the intelligent mechanical ventilation bed system and the intelligent control algorithm synchronized with breath. Aiming at the shortcomings of signal processing de-nosing method, it introduces the judicature processing process into the de-noising disposal of time series. It proposes a judicature de-nosing algorithm composed of four parts: new data original judgment, doubtful noise checkup, noise confirmation and rules modification. The optimal selected method of the important parameter λ is described. The simulation is implemented by comparing with Fourier transform de-noising, and the results indicate that this algorithm can deal with the time series noise and new steady state, and keeps the original useful information.

Key words: intelligent mechanical ventilation bed, breath period prediction, judicature de-noising, Fourier transform, intelligent control

中图分类号: 

• N945