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。
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 2 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.
出处
《计算机工程》
CAS
CSCD
北大核心
2010年第11期250-252,共3页
Computer Engineering
基金
广东省科技厅基金资助项目"同步变位与同步悬空腹变压装置在严重呼吸衰竭的应用与开发"(2007B031507010)
呼吸疾病国家重点实验室开放课题研究基金资助项目
关键词
智能人工呼吸床
呼吸周期预测
司法消噪
傅里叶变换
智能控制
intelligent mechanical ventilation bed
breath period prediction
judicature de-noising
Fourier transform
intelligent control
