用光谱分析和ARIMA表征自配多剂量干粉吸入器的剂量序列

P. Zanen, J. Lammers
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引用次数: 1

摘要

近年来设计了许多所谓的自配式多剂量干粉吸入器。平均权重的计算、剂量序列的变异系数常被用来表示系统的(in)精度。这些参数没有提供关于不准确原因的信息。没有使用统计方法来定位不准确的原因。采用光谱分析和arima建模两种技术确定了两种(模型)干粉吸入器序列的特征。光谱分析检测序列中的周期性行为,而ARIMA揭示了剂量与下一个剂量相互作用的方式。结果表明,第一个吸入器的顺序是一个移动平均过程,表明在给药机制本身粘粉。第二个吸入器显示负自相关,表明粉末供应不足给药机制。光谱分析和arima模型提供了目前无法获得的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Characterization of Dosage Sequences of Self-Dispensing Multi-Dose Dry Powder Inhalers by Spectral Analysis and ARIMA
ABSTRACT Recently many so called self-dispensing multi-dose dry powder inhalers were designed. Calculation of the average weight, the coefficient of variation of the dosing-sequences are often used to indicate the (in)accuracy of the system. These parameters supply no information with respect to the cause of the inaccuracy. No statistical methods are in use to locate the cause of the inaccuracy. Two techniques, spectral analysis and ARIMA-modelling were used to determine the characteristics of the sequences of two (model) dry powder inhalers. Spectral analysis detects periodic behaviour in sequences, while ARIMA unravels the way a dose interacts with the next one. It was shown that the sequence of the first inhaler is a moving average process, indicating sticking powder in the dosing mechanism itself. The second inhaler showed negative autocorrelation, indicating insufficient supply of powder to the dosing mechanism. Spectral analysis and ARIMA-modelling provide information not obtainable with the present...
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