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实验室窦军硕士研究生毕业答辩

发布时间:2016-06-03    字体:[增加 减小]  

答辩人:窦军 硕士研究生

学科专业:机械工程

论文题目:人体生理参数监测装置的设计及其健康状态评估模型研究

摘要:

健康是长久以来人们关注的问题,同时也是十分大的话题。血压高了,我们认为人体处于不健康状态;体脂高了,我们认为人体处于不健康状态。过往我们认为无病即健康,但随着医学、生物学、信息技术的进步,越来越多的学者专家提出健康等级概念,亦有相关研究人员提出亚健康概念,指出健康评定应该是个综合性的指标,而非过去使用单一生理指标判断。

目前,测量健康等级常依据《国民体质测定标准手册及标准》。但这一方法,需要许多专业的仪器,且需要相关专业人员辅助受测者进行规范测量。这使得该种方法不适合家庭化的测量需要。另外,目前生理参数测量仪器存在着体积大、价格高昂等问题,因此便携化、低成本的生理参数监测装置的研发便成为近年来许多科技人员的研究方向。

    本文针对以上问题,选定血压、心率、人体姿态为目标对象,对相应的生理监测装置进行设计制作。在确定健康度等级时,考虑到运动时生理参数的变化对疾病预测具有十分重要的效果,因此确定了本文建立的健康状态评估模型包括静态与动态两部分。

论文的主要研究成果和创新如下:

1)完成包含血压、心率、人体状态识别在内的生理参数监测装置的总体硬件设计。从元器件选型到最终的电路设计,完成了传感器电路、信号调理电路、电源电路设计。

2)建立了健康状态评估模型,包含静态与动态评估模型两部分,实现了基于人体静息生理参数血压、心率、BMI(Body Mass Index)以及运动生理参数血压、心率、BMI的健康度综合评定。在对数据融合几种算法的比对基础上,选定模糊理论与D-S证据理论结合的融合方法,并利用最小平均贴近度对Jousselme算法进行改进。最后应用具体实例,证明了融合算法的可靠性以及模型建立的正确性。

Abstract:

Health is a hot topic, to which people have been always paying attention. When one’s blood pressure or fat becomes higher, we assume that his body is in unhealthy state. People used to think that one is healthy without illness. However, with the development of medicine, biology and information technology, more and more scholars and experts have put forward the concept of health level, as well as the concept of sub-health proposed by some researchers. They point that health assessment should be in accordance with comprehensive indexes, not the old single physiological index.

Now, the most common standard of health assessment is the “National Physical Fitness Test Standards Manual”, which not only needs specialized instrument, but also requires related professionals to assist people to do the health assessment. Therefore, this kind of assessment is not suitable for households. Besides, the current physiological  measuring instrument also has other defects, such as, huge size and high price. As a result, it has become a research direction for many researchers to invent a new physiological measuring instrument with low cost and portability.

To solve the above problems, the writer selected blood pressure, heart rate and posture as target to design the corresponding physiological measuring instrument. As the change of physiological index has great influence on the disease prediction when one is doing activities, when judging the health level, the writer established two models of health assessment: one is static, and the other is dynamic.

The main research results and innovations:

1.Designing the measuring instrument of physiological index to recognize the blood pressure, heart rate and posture. Finishing the designs of sensor circuit, signal processing circuit and power circuit.

2.Establishing the health assessment model, including the static and the dynamic.   Successfully detecting the health level by using the physiological indexes of blood pressure, heart rate and BMIBody Mass Index under the circumstance of two different states(static and dynamic). After comparing and combining some arithmetic, the writer selected the combination of the fuzzy theory and the D-S evidence theory and also took advantage of the minimum average closeness to improve the Jousselme arithmetic. Finally, the writer used specific examples to prove the reliability of combined arithmetic and the accuracy of models.