摘要
血压是反映人体生理状况的一项重要指标,血压监测在临床和医疗保健中有着重要的地位。针对传统单片机设计方案测量精度不高、稳定性不好等缺点,采用MSP430单片机与ARM处理器有效结合的方法,设计了一种基于压力传感器的高精度血压计。从脉搏波特征点入手,采用了一种改进的阈值法,能准确检测出多种病理情况下的有效脉搏波峰值,该方法克服了传统阈值法检测脉搏波准确性不高的缺点,方法简单,测量时间短。采用自适应卡尔曼滤波算法拟合包络线,相比高斯曲线拟合效果更好,且易于编程实现。测试结果表明：系统误差小于4 mmHg,测量范围为0~295 mmHg,具有精度高、速度快的特点。
Blood pressure is an important index which reflects human body and blood pressure monitoring plays an important role in clinical and medical care.Aiming at shortcomings of measurement precision is not high and stability is bad of traditional MCU design scheme,a high precision blood pressure meter is designed based on pressure sensor by means of effective combination of MSP430 MCU and ARM processor.Start from pulse wave feature points,using an improved threshold method can accurately detect valid pulse wave peak values in many pathological conditions,it overcomes shortcoming of not high accuracy of traditional threshold method in detecting pulse wave,and is simple and has short measuring time.Self-adaptive Kalman filtering algorithm is used to fit enveloping line which is better than Gaussian curve fitting and easy to implement programming.Test results show that the system error is lower than 4 mmHg and measurement range is 0 ~ 295 mmHg,and has advantages of high precision and fast speed.
出处
《传感器与微系统》
CSCD
北大核心
2014年第3期110-113,117,共5页
Transducer and Microsystem Technologies
基金
国家科技重大专项资助项目(2010ZX03006-003-02)
关键词
血压计
压力传感器
脉搏波
阈值法
卡尔曼滤波
blood pressure meter
pressure sensor
pulse wave
threshold method
Kalman filtering
