远程护理中老人跌倒检测研究

发布时间：2018-01-15 13:13

本文关键词：远程护理中老人跌倒检测研究　出处：《大连海事大学》2015年硕士论文　论文类型：学位论文

更多相关文章： 远程护理 老年人 跌倒检测 Android

【摘要】：随着社会的不断发展进步,尤其是社会的不断老龄化以及空巢家庭的不断增加,使人们越来越认识到医疗保健对于人们生命健康的重要性,但是传统的医疗模式却很难做到实时的护理。计算机和通讯技术等相关技术的不断发展进步,远程护理越发受到人们的重视,已然成为医疗信息化建设中的一个重要组成部分。跌倒危害老年人及其他特殊人群,特别是在突发跌倒后却无人救助,可能会带来生命危险。及时的跌倒检测和救助可以为治疗和抢救赢得宝贵时间,对保障用户健康和提高医疗监护水平都具有非常重要的意义。为了更好地对老年人群进行医疗护理,减少跌倒对于老年人带来的伤害,本文中将重点针对远程护理中的老年人的跌倒问题进行相关研究,主要工作如下：1.为了方便的对老年人的跌倒进行检测,设计基于Android传感器的数据采集方案,利用Android系统中内置的加速度传感器对人体加速度信息进行采集,并通过JMS中间件技术,将采集到的数据实时的传送到Matlab进行分析和处理。2.对采集到的人体数据进行预处理和合成,并将人体的各项典型的日常活动和跌倒的加速度变化进行直观展示,然后根据合成的SVM曲线提取出相关的数据特征,利用提取的特征构建模式识别算法,并通过实验对模式识别算法的有效性进行验证。3.完成基于Android跌倒检测的远程护理系统总体方案设计,该系统能实时采集传感器的数据,通过跌倒检测模型实时监控用户是否发生跌倒,如果用户发生跌倒,手机会在本地发出蜂鸣报警声,开启定位模块得到跌倒者位置信息,并自动编辑跌倒信息和位置信息以短信方式发送给指定的联系人,以便获得及时的救助,并将个人的数据信息发送到远端的监护平台进行分析和存储。该系统具备成本低、便于维护、扩展性和移植性好等特点,可很好的应用于远程护理领域,使得现代意义下的远程监护更加人性化、智能化和实时化。
[Abstract]:With the continuous development and progress of society, especially the aging of society and the increasing number of empty nest families, people are more and more aware of the importance of medical care for people's life and health. But the traditional medical model is very difficult to achieve real-time care. Computer and communication technology and other related technologies continue to develop and progress, telemedicine has been more and more attention. It has become an important part of the medical information construction. Fall endangers the elderly and other special people, especially after the sudden fall but no one help. It can be life-threatening. Timely fall detection and rescue can buy valuable time for treatment and rescue. It is very important to protect the health of users and improve the level of medical care. In order to better carry out medical care to the elderly people and reduce the harm caused by falls to the elderly. This paper will focus on remote care of the elderly fall of the relevant research, the main work is as follows: 1. In order to facilitate the elderly fall detection. The data acquisition scheme based on Android sensor is designed. The acceleration information of human body is collected by using the acceleration sensor built in the Android system, and the middleware technology of JMS is adopted. Transfer the collected data to Matlab for analysis and processing. 2. Preprocess and synthesize the collected human data. The typical daily activities of human body and the acceleration changes of falls are displayed intuitively, then the relevant data features are extracted according to the synthesized SVM curve, and the pattern recognition algorithm is constructed by using the extracted features. The effectiveness of pattern recognition algorithm is verified by experiments. 3. The overall scheme design of remote nursing system based on Android fall detection is completed. The system can collect the data of sensor in real time. The fall detection model is used to monitor whether the user falls or not. If the user falls, the mobile phone will make a buzzing alarm in the local area and open the location module to get the location information of the fall. The fall information and location information are automatically edited and sent to the designated contact person by short message in order to obtain timely assistance. And the personal data information sent to the remote monitoring platform for analysis and storage. This system has the characteristics of low cost, easy to maintain, scalability and portability, can be well applied in the field of remote nursing. Make the modern sense of remote monitoring more humanized, intelligent and real-time.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：R473

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