多通路生理信号无线同步采集系统的研究与实现

发布时间：2019-02-16 15:54

【摘要】：基于家庭使用环境的便携式医疗监护设备已经成为人们预防疾病、监护突发性疾病必不可缺的重要设备。传统的医疗监护仪器存在诸多局限性比如成本高、体积大、功耗大、操作复杂使其不能适用于应具备无线化、个性化等特点的家庭医疗监护领域。当前基于无线传感网络的多通路医疗监护系统还处于实验室的研究阶段,市场上还没有成型的产品。无线传感器网络是当前国内外工程领域的研究热点,面向人体生理健康监测的无线传感器网络是其中的一个重要分支,开发出一种针对多通路不同生理信号的同步采集方案是至关重要的。多通路的生理信号同步采集及无线传输系统应具备高速数据传输,这样才能使得到的采样数据具有分析价值。本课题针对以上两点实际需求展开研究工作并设计了一套低功耗的心电脉搏信号的同步采集系统。该系统由两个各自独立的心电和脉搏传感器节点以及一部基于Android系统的智能手机构成。该系统具有低成本、低功耗、便携式、个性化等特点,采用同步采集方式可以在对独立的心电、脉搏信号分析之后计算出脉搏波的传导时间再结合基于个人的特定生理参数来估测人体血压,从而实现无袖带的连续血压测量减少了传统血压测量过程中由于袖带所引起的痛苦。本系统采用基于Android操作系统的Java语言进行多线程应用程序开发,实现对两个独立传感器节点的同步采集控制、心电和脉搏波信号特征点提取、估算血压。本文研究了一种较简单的同步采集方式采样频率补偿与采样数据补偿相结合的方法来控制两个独立的传感器节点同步采集心电、脉搏信号,实现两个传感器节点信号采样的同步精度达到97%。经过实验测试,本系统对于心率和脉率的计算准确率分别达到99.06%和98.79%。对三名测试对象进行血压建模测试分析得到,系统对于血压的估算结果均符合AAMI推荐的差不超过5±8mmHg的标准。
[Abstract]:Portable medical monitoring equipment based on home use environment has become an essential equipment for the prevention of diseases and the monitoring of sudden diseases. Traditional medical monitoring instruments have many limitations, such as high cost, large volume, large power consumption, complex operation, which can not be used in the field of family medical monitoring, which should have the characteristics of wireless, personalized and so on. At present, the multi-channel medical monitoring system based on wireless sensor network is still in the research stage of laboratory, and there are no products in the market. Wireless sensor network (WSN) is a hot topic in the field of engineering at home and abroad, and the wireless sensor network (WSN) for human physiological health monitoring is an important branch of WSN. It is very important to develop a synchronous acquisition scheme for different physiological signals. The synchronous acquisition and wireless transmission of multi-channel physiological signals should have high speed data transmission, so that the sampled data can be analyzed. In this paper, a low power consumption synchronous ECG pulse signal acquisition system is designed. The system consists of two independent ECG and pulse sensor nodes and a smart phone based on Android system. The system has the characteristics of low cost, low power consumption, portable, personalized and so on. After the pulse signal is analyzed, the pulse wave conduction time is calculated, and then the blood pressure is estimated based on the specific physiological parameters of the individual. Thus the continuous blood pressure measurement with sleeveless band reduces the pain caused by the cuff in the traditional blood pressure measurement process. This system uses Java language based on Android operating system to develop multi-thread application program, realizes synchronous acquisition and control of two independent sensor nodes, extracts characteristic points of ECG and pulse wave signals, and estimates blood pressure. In this paper, a simple synchronous acquisition method, sampling frequency compensation and sampling data compensation, is studied to control the synchronous acquisition of ECG and pulse signals by two independent sensor nodes. The synchronization precision of signal sampling of two sensor nodes is 97%. The accuracy of heart rate and pulse rate are 99.06% and 98.79%, respectively. The results of blood pressure modeling test for three subjects showed that the estimated blood pressure of the system was in accordance with the standard of 5 卤8mmHg recommended by AAMI.
【学位授予单位】：东北大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TP274.2;R197.39

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