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中医腧穴智能定位系统设计

发布时间:2018-02-14 01:05

  本文关键词: 背腧穴定位 步进电动机 LPC2148 Android 出处:《中南大学》2012年硕士论文 论文类型:学位论文


【摘要】:随着人们工作压力的增大和生活水平的提高,健康医学逐渐成为人们关注的焦点。针灸和推拿是传统中医学的核心,是整个中医学理论体系的基石,一直以来对人类在医疗保健方面的贡献极其巨大。传统中医疗法都是对穴位点进行操作,疾病治疗的效果由取穴的准确性决定,讨论研究了基于ARM微处理器开发设计的自动寻穴系统的相关寻穴原理和定位方法,有着非常重要的应用价值,并已成为医疗辅助机器人领域中的最具挑战的前沿课题之一。 本文以传统中医理论和嵌入式技术为基础,重点讨论了Android系统、ARM嵌入式系统、闭环运动控制技术以及步进电机细分驱动技术在腧穴智能定位系统设计中的应用,研究了穴位定位算法以及自动寻穴系统产生误差的原因以及误差估计,通过改进控制方法达到准确定位。文章从以下几个方面展开讨论: 首先,对目前寻穴算法以及国内外相关研究现状做了详细介绍。按照中华人民共和国国家标准GB12346-90所统计的穴位分布规律,以传统中医指寸定位法为依据,设计研究了穴位定位算法,为系统定位提供了理论依据; 其次,系统采用两级微处理器系统结构,研究了以Android系统为开发平台设计的上位机模块。该模块一方面为系统提供了友好界面,达到了人机交互功能;另一方面通过串口通信为下位机提供命令,使下位机按指令完成穴位定位功能。同时还描述了下位机硬件结构组成,分析了下位机硬件电路实现方法,设计研究了以LPC2148为内核的步进电机驱动二维控制系统。讨论了下位机通过PWM脉冲信号控制二维步进电机的速度、方向的方法,编制了下位机应用程序,使系统按指令对背部30个穴位准确定位。 再次,设计了相关对照试验并对误差进行分析研究,验证了系统的可靠性和可重复性。并于2011年参加了第十三届中国国际高新技术成果交易会的展出,得到了广泛的好评。 最后,总结分析了该系统不足和缺点,提出了系统所存在的发展空间,并对系统今后的进一步研究提出了设想。
[Abstract]:With the increase of people's working pressure and living standard, health medicine has gradually become the focus of people's attention. Acupuncture and massage are the core of traditional Chinese medicine and the cornerstone of the whole theoretical system of traditional Chinese medicine. The traditional Chinese medicine therapy is the operation of acupoints, and the effect of disease treatment is determined by the accuracy of acupoints. This paper discusses and studies the principle and location method of the automatic hole searching system based on ARM microprocessor. It has very important application value and has become one of the most challenging frontier topics in the field of medical auxiliary robot. Based on the traditional Chinese medicine theory and embedded technology, this paper mainly discusses the application of Android system arm embedded system, closed-loop motion control technology and step motor subdivision drive technology in the design of acupoint intelligent positioning system. In this paper, the causes of the error and the error estimation of the automatic point locating system are studied, and the accurate location is achieved by the improved control method. The following aspects are discussed in this paper:. First of all, this paper introduces the current algorithm of finding points and the current situation of research at home and abroad. According to the distribution law of acupoints counted by the national standard GB12346-90 of the people's Republic of China, it is based on the traditional method of finger inch positioning in traditional Chinese medicine. The algorithm of acupoint location is designed and studied, which provides a theoretical basis for the positioning of the system. Secondly, the system adopts the two-stage microprocessor system structure, and studies the upper computer module which is designed with Android system as the development platform. On the one hand, the module provides a friendly interface for the system and achieves the function of man-machine interaction. On the other hand, the command is provided to the lower computer by serial communication, so that the lower computer completes the function of acupoint positioning according to the instruction. At the same time, the hardware structure of the lower computer is described, and the realization method of the hardware circuit of the lower computer is analyzed. This paper designs and studies the two dimensional control system of stepping motor driven by LPC2148, discusses the method of controlling the speed and direction of the two dimensional step motor by PWM pulse signal, and compiles the application program of the lower machine. The system can accurately locate 30 acupoints on the back according to the instruction. Thirdly, the relative controlled experiment was designed and the error was analyzed to verify the reliability and repeatability of the system. In 2011, it participated in the exhibition of the 13th China International High-Tech Fair, and was widely praised. Finally, the shortcomings and shortcomings of the system are summarized and analyzed, the development space of the system is put forward, and the future research of the system is proposed.
【学位授予单位】:中南大学
【学位级别】:硕士
【学位授予年份】:2012
【分类号】:R318.6;TP368.12

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