【作者】 谭新；

【导师】 郭兴明；

【作者基本信息】 重庆大学 ， 生物医学电子与信息技术， 2008， 硕士

【摘要】 当今社会人口老龄化日趋严重,对患有各种慢性疾病、残疾、老年病患者的老年人的健康护理成为许多家庭的沉重负担。即使对那些独自生活,行动自如的健康老人来说,在遇到紧急情况需要社会帮助时,也存在一定的困难。因此解决老年人的健康护理问题迫在眉睫。远程监护,相对于传统的住院观察,给予患者更大的活动自由,不影响老龄人口的正常生活,价格低廉,是一个很好的解决方案。本课题提出了一个新型穿戴式远程生理参数监护系统,它主要由用户的穿戴式监护终端和远程医疗监控中心构成,二者使用GPRS网络进行通讯。监护终端由ARM控制器控制多个数据采集模块进行多路生理信号采集(心电、血压、体温等);远程医疗监控中心是由LabVIEW开发环境设计开发中心服务器端的监控软件,实现实时数据的接收、显示与存储等功能,并利用和控制DSP处理器完成实时的数据处理。这个方案的主要特点是:首先,使用了GPRS无线通信网络作为穿戴式终端与中心的数据交换通道,克服了传统的有线传输或医院内部射频传输的弊端,使远程监护有较广的覆盖范围和可靠的数据传输通道;其次,使用了虚拟仪器技术实现中心服务器的软件设计,并引入高性能的DSP处理器构建远程医疗中心信号处理平台对本地生理信号进行处理,给医院以及医护人员及时的信息反馈和危险预警。本论文详细介绍了远程医疗中心信号处理平台的设计与实现方法,以及远程医疗中心监控软件和在远程医疗中心信号处理平台的DSP处理器上运行的ECG信号处理软件的设计和编程实现过程。本课题选用TI公司的TMS320C6416T定点DSP处理器,它运行速度快,实时性能好,计算能力强,非常适合于生理信号的数据处理。远程医疗中心监控软件的具体功能包括生理信号的接收模块、实时显示模块、信号监控报警模块、医学数据库操作模块、中心信号处理器控制模块。信号处理软件的具体功能模块为一个基于LADT、小波变换、阈值检测的ECG信号R波的识别和定位算法。试验结果表明,本文所设计的远程医疗中心监控软件能实时的接收和显示采集到的多参数生理信号并实现医学数据库的数字管理,同时远程医疗中心信号处理平台能高效、准确地运行ECG信号处理算法并通过中心监控软件将结果反馈给医护人员。本文为使用通用DSP器件进行医学信号处理提供了一个成功范例。更多还原

【Abstract】 The social population of old people increasingly serious. The old people who suffer from various chronic diseases, disability and old age disease of the elderly health care have become a heavy burden for many families. Even for those who live alone and freely action of healthy old people, when an emergency situation in need of social help, there are also certain difficulties. Therefore solve their health care issues to be imminent. Telemonitoring, compared with traditional in-hospital care, offers patients advantages such as low cost, more freedom and less interference with normal life, thus is a promising solution to above mentioned monitoring problem.This thesis introduces an innovative wearable remote physiological monitoring system. It is composed of two parts: wearable terminals and a telemedicine physiological monitoring center. Those two parts communicate with each other via GPRS network. In the terminal, an ARM controller is in charge of multi-channel physiological signal sampling (ECG, blood pressure, body temperature, etc); In the telemedicine physiological monitoring center, to achieve data reception, data display and data storage function is developed using LabVIEW development environment design center server monitoring software, and a DSP processor is employed to conduct real-time data processing. The notable feature of this design include: firstly, GPRS wireless communication network is utilized as data exchange media, which overcomes the shortcomings of traditional wired and short distance Radio Frequency methods, providing wide signal coverage and stable communication channels; Secondly, the design of the telemedicine center monitoring software is base on the virtual instrument technology, which utilizes high-performance DSP processor to construction signal processing platform of telemedicine center to conduct local physiological signal processing, which is able to provide the hospitals and medical care personnel with real-time feedbacks and warnings.In this thesis, the design and implementation of signal processing platform of telemedicine center, the telemedicine center monitoring software and the ECG signal processing algorithm are discussed in detail. In this design, the signal processor is the TMS320C6416T fixed-point DSP processor, manufactured by Texas Instrument Cooperation. This processor is featured as high performance, real-time performance and high computation capacity, which is very suitable for physiological signals processing. The telemedicine center monitoring software has the 5 main function modules: signal receiver module, real-time display module, alarm of monitoring signal module, medical database module, the center signal processor control module. The signal processing algorithm has an R-wave detection algorithm based on LADT, wavelet transformation and threshold detection.The experimental results demonstrate that the design of telemedicine center monitoring software is very efficient to receive and display various physiological real-time signals and realize the digital management of the medicine database. Processing results can be obtained within desired time and accuracy, which will be fed back to medical care personnel through the telemedicine center monitoring software. This paper offers a successful example for customizing general DSP device to medical signal processing applications.更多还原