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多媒体技术在心智指标分析中的应用研究

发布时间:2018-03-08 15:31

  本文选题:老人痴呆症 切入点:多媒体技术 出处:《天津大学》2012年硕士论文 论文类型:学位论文


【摘要】:在65岁以上的老人中,痴呆症的发病率在6.6%以上。老人痴呆症可能造成体能下降、记忆力减退、日常生活能力衰退、卧床不起甚至死亡,因此,老人痴呆症会严重影响老人的身体健康和生活品质。本研究希望能够结合无线感测网络和多媒体技术,设计一套针对老人的心智指标分析系统。该系统能够及早侦测老人痴呆症,及早启动照护计划,并且能够在一定程度上锻炼老人的心智功能,达到延缓老人痴呆症发生的目的。 该系统由三部分组成:(1)资料收集部分:以Fun Cube为主要互动工具,利用多媒体技术呈现游戏内容和游戏规则,,收集受测者的操作步骤、错误次数和完成时间并将这些信息传递到云端服务器。此部分针对定向、工作记忆、专注力和处理速度等认知能力方面,一共设计和实现了11种游戏;(2)资料分析部分:云端服务器首先对收集到的数据进行字符串比对,筛查是否存在病毒,然后对其进行分析计算并存储各项心智指标量化结果。此部分用Aho-Corasick算法作为云端字符串对比算法,并利用多线程技术进行比对效率的加速;(3)资料反馈部分:建立一个医生可以访问的网页,向医生呈现受测者的操作步骤并自动筛查有认知功能障碍的高危险人群,提示医生提早启动照护计划。此部分利用Visual Studio软件进行网页设计,并对存贮的操作时间、操作步骤、正确性等数据进行提取和分析。 系统构建成功后,我们进行了三个实验:第一个实验为系统信效度的分析:评估本系统评估结果和传统纸本评估之间的关联性;第二个实验为系统满意度调查:利用科技接受模型(Technology Acceptance Model2, TAM2)问卷测试老人对本系统的科技接受程度。这两个实验于台湾长庚养生文化村进行。实验分为四个步骤:(1)实验前测:受测者签写受试者同意书,并测试简易精神状态量表(MMSE)和额叶功能评定表(FAB),两种问卷得分当作分组依据;(2)分组:将测试者随机分为A、B两组,并用MMSE检定两组在认知上是无差异的(即p0.05),若有差异,则以人工调整分组至无差异;(3)第一次测试:A组做纸本MoCA测试,B组做Fun Cube心智游戏测试和TAM2问卷;(4)第二次测试:两个星期后,A、B两组交换。共招募了43位老人参与本实验,37人坚持完成了所有测试,其中27位是女性,10位是男性,平均年龄为77.9岁,平均教育年限为14.6年,MMSE平均得分为27.0分。在系统信效度方面,本系统评估结果和传统纸本评估之间的Pearson相关系数为0.78,属于强相关,说明本系统的评估结果是有一定可信度的;在系统满意度方面,使用意愿方面得分在5.6以上,认知有用性方面得分在5.33以上,认知易用性方面得分在5.7以上,娱乐性方面得分在5.88以上,主观印象方面得分在5.56以上,工作关联性方面得分在5.12以上,产出品质方面得分在5.88以上,效果验证方面得分在3.86以上,自愿性方面得分在5.98以上,喜好程度方面的得分是4.77。说明本系统对于老人有趣、简单易操作,并且有很强的吸引力。第三个实验为多线程技术在服务器上运行Aho-Corasick算法的效能分析。本实验在HP9000Superdome服务器上运行,实验结果发现:相对于1个CPU,2个CPU能提升50.2%左右的效能,4个CPU能提升74.3%左右的效能。 本研究将无线感测网络和多媒体技术应用于老人心智功能评估,一方面开发了与传统纸本量表相关的游戏,改善传统纸本量表的缺点,协助医生及早发现老人痴呆症人群;另一方面开发并实现了一些认知功能训练游戏,藉此锻炼和提高老人认知功能,延缓老人痴呆症的发生与发展。
[Abstract]:In 65 years old. The incidence of dementia in 6.6%. Alzheimer's disease may cause physical decline, memory loss, decline the ability of daily life, completely bedridden and even death, therefore, Alzheimer's disease will seriously affect the health of the elderly and the quality of life. This study hopes to be able to combine the wireless sensor network and multimedia technology, design a set for the elderly mental index analysis system. The system can provide early detection of Alzheimer's disease, early start care plan, and can exercise the elderly in a certain degree of mental function, to delay the occurrence of dementia.
The system consists of three parts: (1) data collection part: Fun Cube as the main interactive tools, showing the game content and game rules by using multimedia technology, operation steps to collect subjects, error times and completion time and pass the information to the cloud server. This part aims at the orientation, working memory, attention and the processing speed of cognitive ability, a total of 11 kinds of game design and implementation; (2) data analysis: Cloud Server firstly collected data string comparison, screening for the presence of the virus, and then analyzed the computing and storing the quantitative results of mental indicators. This part uses the Aho-Corasick algorithm as the clouds string comparison to accelerate the algorithm, and compare the efficiency of the use of multi threading technology; (3) datafeedback: establish a doctor can access ", to show the doctor The operation steps and automatic screening of high-risk groups with cognitive dysfunction suggest that doctors start the nursing plan early. This part uses Visual Studio software to design web pages, and extracts and analyzes data such as operation time, operation steps and correctness.
After the success of the system construction, we conducted three experiments: the first experiment for analysis of system reliability and validity of the evaluation system: assessment of the relevance between the assessment results and the traditional paper; the second experiment is the survey of satisfaction system: using the technology acceptance model (Technology Acceptance Model2, TAM2) questionnaire to test the elder to the system of science and technology acceptance. The two experiments carried out in Taiwan Chang Gung health and culture village. The experiment was divided into four steps: (1) the pretest: subjects the subjects signed consent, and test the mini mental state examination (MMSE) and frontal lobe function assessment scale (FAB), two kinds of questionnaire score as packet basis; (2) grouping: Participants were randomly divided into two groups of A, B, and MMSE test in the two groups there is no difference in cognition (P0.05), if there are differences, to manually adjust the packet to no difference; (3) the first test: A Paper Group The MoCA test, B group Fun Cube mind game test and TAM2 questionnaire; (4) the second test: after two weeks, A, B two group exchange. 43 elderly people were recruited to participate in the study, 37 people to complete all the tests, including 27 women, 10 men. The average age is 77.9, the average years of education for 14.6 years, the average MMSE score was 27 points. The system reliability, the system evaluation of Pearson correlation coefficient between the results and the evaluation of the traditional paper is 0.78, belong to a strong correlation, that evaluation of this system is the result of a certain extent; in the system satisfaction. Willingness to use scores above 5.6, perceived usefulness scores above 5.33, cognitive usability scores above 5.7, entertainment score above 5.88, subjective impression scores above 5.56, job relevance scores above 5.12, output quality The scores of more than 5.88, to verify the effect of score above 3.86, the voluntary score above 5.98, the preference score is 4.77. that the system for the elderly is interesting, simple and easy to operate, and has a strong attraction. Performance analysis of third experiments for multi threading technology Aho-Corasick algorithm running on the server. Experiment on the HP9000Superdome server, the experimental results showed that compared with 1 CPU, 2 CPU can enhance about 50.2% efficiency, 4 CPU can enhance about 74.3% efficiency.
The wireless sensor network and the application of multimedia technology in the elderly mental function assessment, on the one hand developed with the traditional paper the scale of the game, improve the scale of the shortcomings of the traditional paper, assist the early detection of Alzheimer's disease population; on the other hand, to develop and implement some cognitive training game, take exercise the old man and improve cognitive function, delay the occurrence and development of Alzheimer's disease.

【学位授予单位】:天津大学
【学位级别】:硕士
【学位授予年份】:2012
【分类号】:R749.16;TP37

【参考文献】

相关期刊论文 前6条

1 王泽宇;朱晓峰;黄昕艳;丛玲;盛宝英;;蒙特利尔认知量表和MMSE量表在阿尔茨海默病筛查中的比较与应用[J];黑龙江医药科学;2011年04期

2 梁夏;王金辉;贺永;;人脑连接组研究:脑结构网络和脑功能网络[J];科学通报;2010年16期

3 闵宝权,贾建平;认知功能检查量表在老年期痴呆诊断中的应用[J];中国临床康复;2004年10期

4 王炜;王鲁宁;;“蒙特利尔认知评估量表”在轻度认知损伤患者筛查中的应用[J];中华内科杂志;2007年05期

5 彭丹涛,许贤豪,刘江红,矫玉娟,张华,殷剑,孟晓梅,谢琰臣,冯凯;简易智能精神状态检查量表检测老年期痴呆患者的应用探讨[J];中国神经免疫学和神经病学杂志;2005年04期

6 李格,沈渔惃,陈昌惠,李淑然,张维熙,刘棉;简易精神状态检查表在不同人群中的试测研究[J];中国心理卫生杂志;1989年04期



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