基于双单片机的智能化生物医学仪器信号处理系统设计  

Design of Intelligent Biowedical Instrument Signal Processing System Based on Dual Single Chip Microcomputer

作　　者：王莹[1] Wang Ying(Beijing Polytechnic,Beijing 100176,China)

机构地区：[1]北京电子科技职业学院,北京100176

出　　处：《科技通报》2019年第12期87-90,95,共5页Bulletin of Science and Technology

摘　　要：对智能化生物医学仪器信号处理系统进行设计,可以提高智能化医疗设备工作效率和工作水平,增加生物医学仪器信号的平稳性。当前方法是依据傅里叶分析理论,对生物医学仪器信号进行相关的检测、信号数据存储等信号处理技术完成智能化生物医学仪器信号处理系统的设计。该方法不仅随机性过强,无法满足当前医学进步的需求,而且信号的光滑性较差,对仪器信号处理的效率较低。为此,提出一种基于双单片机的智能化生物医学仪器信号处理系统设计方法。该方法先对生物医学仪器信号处理系统的硬件进行设计,然后以硬件构造为基础,以双稳态随机共振理论为前提,引入调制随机共振与D-J阈值噪声估计方法,对生物医学仪器信号进行特征提取,最后依据迭代法找到分数阶中的小波包变换最佳分数阶值,利用小波包变换把含有噪声的生物医学仪器信号映射至最佳小波包的时频域内,完成小波包时频域中的生物医学仪器信号去噪。实验结果证明,所提方法可以高效可靠地对智能化生物医学仪器信号处理系统进行设计,对该领域发展有建设性的作用。To design intelligent biomedical instrument signal processing system,can improve the intelligent medical equipment working efficiency and working level,increase the stationarity of biomedical instrument signal.The current method is based on the theory of Fourier analysis,the biomedical instrument signal detection and signal data storage to complete intelligent signal processing technologies such as biomedical instrument design of signal processing system.The method is not only too random to meet the needs of current medical advances,but the signal is less smooth and less efficient in the signal processing.This paper presents a method of intelligent biomedical instrument signal processing system based on dual single chip microcomputer.The method of first biomedical instrument hardware design of signal processing systems,and then based on the hardware structure,on the premise of bistable stochastic resonance theory and introducing the modulated stochastic resonance and D-J threshold noise estimation method,the biomedical instrument signal feature extraction,finally based on the iterative method to find best wavelet packet transform of fractional order fractional value,using the wavelet packet transform biomedical instrument signal containing noise mapping to the best wavelet packet time-frequency domain,complete wavelet packet time-frequency domain biomedical instrument signal denoising.The experimental results show that the proposed method can efficiently and reliably for intelligent system design,biomedical signal processing instrument constructively development in this area.

关 键 词：智能化 生物医学仪器 信号处理 系统设计 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]