Design and Implementation of Digital Asthma Diagnosis System

Q. Yao, Xiantao Yang
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Abstract

In this article, the MSP430F149 is the microcontroller (MCU), and a pressure sensor, MPX5100AP, is used to measure body measurement of maximal forced expiratory volume (FEV) and peak expiratory flow rate (PEFR). The two analog signals are processed by the signal conditioning circuit, and then the corresponding digital signals are acquired by the MCU. With the related operations of multiple respiratory parameters, a built-up time of respiration signal mutation rate values and the determination of the mutation rate, a mathematical model is built among FEV, PEFR and the rate of variation. The mathematical model of the system is analyzed, and the relationship between the detection results and the degree of airway obstruction is established. Finally, the patient's condition analysis results are given directly on the LCD, which provided the objective indicators for the medical treatment of the disease.
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数字化哮喘诊断系统的设计与实现
本文以MSP430F149为微控制器(MCU), MPX5100AP为压力传感器,测量人体最大用力呼气量(FEV)和呼气峰值流量(PEFR)。这两个模拟信号经过信号调理电路处理后,再由单片机获取相应的数字信号。通过多个呼吸参数的相关运算、呼吸信号突变率值的累积时间和突变率的确定,建立了FEV、PEFR和变化率之间的数学模型。分析了系统的数学模型,建立了检测结果与气道阻塞程度的关系。最后将患者的病情分析结果直接显示在LCD上,为疾病的医疗提供了客观的指标。
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