基于模型的超声波渡越时间测量方法研究

本文针对超声波气体流量计,提出了一种基于模型的超声波渡越时间测量的新方法。该方法首先通过超声波接收探头获取声波信号,然后建立超声波接收信号从起振到稳定的数学模型,最后通过模型参数拟合得到渡越时间参数最优值。作为初步研究,在内径100 mm管径下分别进行了静态和动态渡越时间测量实验。研究结果表明,建立的超声波接收信号的模型是有效的,提出的基于模型的超声波气体流量计渡越时间测量方法是可行的。

基于CPLD的超声波测距系统的研究

本设计基于超声波测距原理,以单片机(AT89S52)+CPLD作为控制核心,采用渡越时间测量法测距,步进电机配合完成正反转等各种动作,实现了全方位超声测距。系统可在LCD上实时显示温度、距离和角度。试验结果表明:系统是一种理想的非接触式测距方法,且结构简单,精度较高,可以满足料位检测、液位探测及微地形构造等方面的需要。

高精度超声测距系统设计

本文以89C55单片机实现渡越时间测量算法,采取温度补偿措施并结合软件编程的算法科学合理的补偿测量误差,完成高精度测距系统设计。

USE OF PULSE TRANSIT TIME AS A MEASURE OF AUTONOMIC AROUSALS IN PATIENTS WITH OBSTRUCTIVE SLEEP APNEA

Objective To evaluate the feasibility of pulse transit time (PTT) arousals as an index of sleep fragmentation in patients with obstructive sleep apnea hypopnea syndrome (OSAHS). Methods Individuals referred for evaluation of possible OSAHS underwent overnight polysomnography (PSG). Three conventional indices of sleep fragmentation [electroencephalography (EEG) arousals, apnea/hypopnea index (AHI), oxygen desaturation index (ODI)], PTT arousals, and Epworth sleepiness scale (ESS) were compared. Results PTT arousals were positively correlated with EEG arousals (r= 0.746, P<0.001), AHI (r= 0.786, P<0.001), and ODI (r= 0.665, P<0.001), respectively. But, both PTT arousals and EEG arousals had no correlation with ESS (r= 0.432, P=0.201; r= 0.196, P=0.591, respectively). Conclusion PTT arousals are correlated well with other standard measures estimating severity of OSAHS and potentially a non-invasive marker with which to measure the sleep fragmentation in patients with OSAHS.