帕金森疾病是危害中老年人健康的三大疾病之一，随着我国社会老龄化程度的提高，帕金森患者的人数在逐步增加，帕金森患者的健康监护和管理是一项重要需求。基于此，本文设计和实现了一种监护系统，专门服务于帕金森患者尤其是做过脑起搏器植入手术的患者。论文首先对国内外现有的监护系统架构进行了深入研究，对帕金森患者的监护问题和现状进行了文献调研，得出了给帕金森患者提供监护的必要性，并结合现有的移动互联网技术、智能设备科技和可穿戴传感技术，提出了以脑起搏器和患者为监护对象的系统构想。之后重点结合目前已经植入脑起搏器的帕金森患者存在的监护问题，考虑偏远患者对系统的诉求，以及程控医生和科研人员对系统的需求，归纳出本监护系统的总需求。以总需求为导向，依托于工程实际，通过对技术方案的对比分析，确定了系统实现的技术方案，将总系统划分为两个模块：脑深部电信号数据采集系统（本文又称“脑电监护系统”）和以患者App为核心的移动监护系统（本文简称“移动监护系统”）。 论文针对“脑电监护系统”和“移动监护系统”进行了详细的架构设计和技术实现。其中前者依托于带感知功能的脑起搏器产品（由合作企业北京品驰医疗设备有限公司生产制造，型号为G102RS），已经在实际的工程项目中得到了成功的应用。后者设计实现的App应用已经发布并开放给部分患者试用。“脑电监护系统”可以在治疗的同时采集到脑深部的电信号并实时传递出来，为以后实现闭环刺激或个性化治疗提供了有力的工具。移动监护系统可以给已植入DBS的患者提供强有力的术后监护和管理工具。该子系统对进一步推动脑起搏器成果产业化具有重要作用。论文在系统技术实现的过程中，深入学习和研究了iOS系统、低功耗蓝牙技术、通信协议、MYSQL数据库技术、SQLite嵌入式数据库技术、Windows GUI编程技术和JAVA服务端编程技术等。论文对系统的各个主要模块进行了详细的分析，并给出了实现方法，对其中用到的一些关键技术，也给出了说明和阐述。
Parkinson’s disease is one of the three dangerouse diseases in the elderly. With the degree of aging in our society increases, the number of Parkinson's patients gradually increase. Therefore Parkinson's patients and healthy care management is an important requirement. In this paper a monitoring system is designed and implemented to meet this demand. This system is specially designed to serve to patients with Parkinson's disease especially to patients who have got surgical tr-eatment. Firstly, the architecture of existed monitoring systems were deeply studied. This paper conducted many literature researches to the status and problems of monitoring to patients with Parkinson’s desease. This paper drawed a conclusion that providing remote monitoring of patients with Parkinson's is necessary. This paper then proposed a monitoring system idea for patients and stimulators. Then this paper summarized the key requirements of this system, mainly combining the supervision monitoring problems of Parkinson's patients who already got surgical treatment and considering remote patients’ demands as well as doctors’ and researchers’ demands. Demands oriented and based on the engineering practice, this paper provide the technical solution for the system by the contrastive analysis. This system is divided into two modules, which is deep brain electrical signal data acquisition system and mobile monitoring system centered on mobile application for patients. This paper carried on the detailed design and realization of two system architecture. The previous system has been successfully used in the actual project. The latter released an iOS App for the patients in the apple store. EEG monitoring system can collect and pass out the deep brain electrical signal during the treatment. This provides a powerful tool to realized closed loop stimulation and personalized therapy. The mobile monitoring system rovides powerful postoperative care and management tools for patients who has been implanted with DBS. Monitoring system plays an important role in further promoting industrialization of achievement of DBS. In the process of system realization, this paper studied and researched deeply on the iOS system, Bluetooth low energe, communication protocol, MySQL database technology, SQLite embedded database technology, Windows GUI programming technology and JAVA server-side programming technology, etc.In this paper, every major modules are analyzed in details and the realization methods are provided. This paper gives the analysis of some key technologies.
