基于QP的医疗数据监测系统的研究与实现

发布时间：2018-03-15 09:27

本文选题：量子编程　切入点：Arduino　出处：《吉林大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着互联网技术飞速发展,远程医疗已成为世界各国家研究的热门话题。远程医疗结合了互联网、嵌入式等相关技术,使那些外部条件受限的病患得到及时的治疗。目前我国乡镇、农村远程医疗技术还没有发展起来,又加上农村多是留守老人和儿童、智能手机普及率极低、医疗健康预防知识薄弱、医疗检测设备价格昂贵,因此在乡村普及远程医疗就显得尤为重要了。传统的医疗数据监测系统,只能达到对个体患者进行生理参数采集并且测得数据误差较大、在数据传输过程中容易出现宕机等情况。这样的检测系统并不能在农村等条件受限的地区有效的推广远程医疗,伴随着科技的迅猛发展以及传感器技术的日益更新,生理参数数据的精确测量以及数据传输的高效稳定已经成为可能。本课题的研究目的就是结合了当今发达的无线通讯技术和嵌入式技术,设计了一个低耦合、自动化、网络化、低功耗、低成本、可靠性高的医疗数据监测系统。通过设计与分析,本课题设计了一款基于QP的医疗数据监测系统,系统主要分为:生理参数传感器采集模块、蓝牙传输模块、控制模块、GPRS模块和接收模块。主要功能就是通过患者身份认证批量的采集血氧、血压、血糖和体温等生理参数,并实时将这些数据上传到医生手中。本系统采用Arduino单片机作为系统主开发板,引入了QP-nano嵌入式框架,结合了QP(Quantum Progarmming)量子编程思想,将Arduino传统基于面向过程流控制编程改良成了基于事件驱动型编程,并加入了层次状态机的思想。本文主要内容利用QP的差异性编程思想,移植了QP-nano嵌入式框架,降低了系统耦合性,大大节省了RAM使用空间,解决了传统RTOS(实时操作系统)占据较多内存空间的缺点,同时CPU睡眠模式切换也达到了嵌入式系统开发所提倡的低功耗的需求,并借助蓝牙串口通讯技术,GPRS通信实现了一款具备数据采集以及数据传输的高性能医疗数据采集系统。本文最后介绍了采用传统RTOS编程和移植QP-nano后程序消耗内存和性能对比,以及服务器端对所采集数据的展示与整理,方便医生可以直观、便捷对数据进行分析与反馈,达到本文预期的实验效果与设计初衷。
[Abstract]:With the rapid development of Internet technology, telemedicine has become a hot topic in various countries of the world. Telemedicine combines Internet, embedded and other related technologies. To enable those patients with limited external conditions to receive timely treatment. At present, the rural telemedicine technology has not yet developed in our country. In addition, most of the rural areas are left behind elderly people and children, and the penetration rate of smart phones is extremely low. Medical and health prevention knowledge is weak, medical testing equipment is expensive, so it is particularly important to popularize telemedicine in rural areas. Only the physiological parameters of individual patients can be collected and the error of data measured is large, and it is easy to have outages in the process of data transmission. This kind of detection system can not effectively promote telemedicine in areas with limited conditions such as rural areas. With the rapid development of science and technology and the increasingly updated sensor technology, The precise measurement of physiological parameter data and the high efficiency and stability of data transmission have become possible. The purpose of this research is to design a low coupling, automation and network based on the advanced wireless communication technology and embedded technology. A medical data monitoring system with low power consumption, low cost and high reliability is designed. Through design and analysis, a medical data monitoring system based on QP is designed. The system is mainly divided into: physiological parameter sensor acquisition module, Bluetooth transmission module, Control module GPRS module and receiving module. The main function is to collect blood oxygen, blood pressure, blood glucose, body temperature and other physiological parameters in batches through patient identification. The system adopts Arduino microcontroller as the main development board of the system, introduces the embedded frame of QP-nano, and combines the quantum programming idea of QP(Quantum Progarming. The traditional programming of Arduino based on process-oriented flow control is improved to event-driven programming, and the idea of hierarchical state machine is added. The main content of this paper is to transplant the embedded framework of QP-nano by using the difference programming thought of QP. The system coupling is reduced, the RAM usage space is saved greatly, and the traditional RTOS (real-time operating system) occupies more memory space. At the same time, the CPU sleep mode switching also meets the demand of low power consumption advocated by the embedded system development. A high performance medical data acquisition system with data acquisition and data transmission is realized by means of Bluetooth serial port communication technology. Finally, this paper introduces the memory consumption and performance comparison between the traditional RTOS programming and the program after transplanting QP-nano. The display and arrangement of the collected data on the server side is convenient for doctors to intuitively analyze and feedback the data and achieve the experimental effect and design intention expected in this paper.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP274

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