基于PC平台福尔电针诊断仪的研究与设计
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摘要
福尔电针的出现虽然已有半个多世纪了,但国内使用该仪器诊治疾病的医生并不多。随着福尔电针相关知识在国内的传播,人们对其认识越来越全面。福尔电针由于其具有廉价、准确、简单的优点,将来被人们接受是必然的。当前,国内对福尔电针的研究不是很多,多数是前期的经络电阻的测量研究。为了促使福尔电针在国内的发展,本课题特做了初步探索性研究。
     首先,本文介绍了福尔电针的出现和用途,接着介绍了福尔电针诊断的优势所在。简要研究了福尔电针的发展,同时分析了福尔电针在国内的现状和前景。
     其次,本文从福尔电针的医学、电学和能量学基础的角度,对福尔电针进行基础性研究,还介绍了福尔电针的诊断原理,提出了福尔电针硬软件设计的关键性问题。
     再次,着重介绍了基于PC平台福尔电针诊断仪的硬、软件设计。硬件以单片机MSP430为控制系统,结合恒流源电路、经络电压测量电路、接口转换电路和两个电极来实现。本课题用C语言编写了单片机程序,用C#编写了界面和数据处理程序。利用模式识别的理论,进行分类决策,获得诊断结果。
     最后,应用本设计的福尔电针诊断仪实际进行了测量诊断,得出了较为满意的测量和处理结果。从而,验证了本设计的诊断仪的可行性。
     本设计的福尔电针诊断仪还有待进一步的完善和应用,只有通过临床的反复试验才能得到完善,福尔电针才能真正为临床提供更为准确结果,发挥它最大的优势。
It has been more than half a century since EAV(Electro-Acupuncture according toVoll) appeared, but in diagnosis and treatment of the disease, the instrument is used by fewpeople in China. With the knowledge of EAV spreaded in China, people will understand itmore comprehensive. EAV has the advantages of convenient operation, cheap application,accurate measurement, so It is inevitable that EAV is being accepted by people in futuer.At present, There are few domestic researchs on EAV, a few of researchs are aboutmeasurement of meridian resistance. In order to promote the development of EAV indomestic, this paper makes a preliminary study.
     Firstly, this paper introduces the emergence and use of EAV, and then introduces thediagnostic advantage of EAV. We make a brief study on the development of EAV, andanalyse the domestic status and prospects of EAV.
     Secondly, from the aspects of Medicine, electricity and energy, we make basicresearch on EAV. We introduce diagnosis principle of EAV, and put forward key issues onthe hardware and software design of EAV.
     Thirdly, this paper introduces emphatically hardware and software design of EAVdiagnosis instrument based on the PC platform. In hardware, as a control system, MSP430single-chip microcomputer achieves system’s function, combined with the constantcurrent source circuit, meridian voltage measurement circuit, interface conversion circuitand the two electrode. We use the C language to compile SCM procedures, use C# tocompile application interface and data processing program. The paper obtains thediagnosis results by classification and decision based on the theory of pattern recognition.
     Finally, we apply EAV diagnosis instrument designed for measuring and diagnosing,and obtain relatively satisfactory measure data and treatment results. We validate thefeasibility of the diagnostic instrument.
     The EAV diagnosis instrument designed by us still needs further perfect andapplications. The instrument can be perfect by the clinical trial, EAV’s perfect can providemore accurate diagnosis results for clinical application to bring into play its biggest advantage.
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