基于Visual C++的MIT-BIH心电数据管理系统的设计

目的:识读MIT-BIH心电数据库格式,为研究心电监护系统提供信号源,为心电算法的仿真打好了基础.方法:以VC++6.0为平台,利用面向对象语言编程读取心电数据,经过D/A转换输出到心电监护系统,仿真验证心电算法.结果:心电信号输出与回放同步,可有效控制信号源.实现截取、保存、回放任一段心电波形.结论:系统平台可作为心电信号软件管理平台,提供给心电监护系统进行仿真试验.     

PCM多道生理遥测仪

本文介绍心电,脑电,肌电等多生理参数的多道遥测系统的组成,工作原理和使用情况。本机采用ＰＣＭ－ΔＰＳＫ－ＦＭ调制方式,设有主,副次三种交换子。     

应用于重危病人监护仪的双微处理机互联结构设计

随着现代医疗技术水平的提高,临床上对危重病人的监护提出了更高的要求,即要求监护系统既能同时显示一个病人的多个生理信号波形(作为多参数床边监护仪)或同时显示多个病人的ECG波形(作为ECG中央监护仪),又必须具有记忆示波(常称为波形“冻结”显示)的功能。与此相应,临床上更希望监护仪能在显示或冻结生理信号的同时、能对病人的多种生理信号进行实时监测,在参数越限或波形异常时,能及时、准确地进行报警,提醒医护人员的注意,并自动将显示的波形进行“冻结”,将有关的生理参数值实时显示在显示屏(CRL)上,以供医护人员分析、判断病人的生命状况,及时采取相应的医疗措施,提高监护效能。     

IBM型微机在视觉神经电生理研究中的一个应用

采用IBM-XT微机及其外围硬件Lab Master对一项视觉神经电生理实验施行实时的数据采集、处理和控制。其中:Lab Master中的D/A和8255型并行接口输出模拟量和数字量,控制一台图像发生器,产生不同的视觉图像刺激;用LabMaster中的计数器,计数一定时间内神经脉冲的个数,然后进行数据处理。     

工业生物过程智能控制原理和方法进展

工业生物过程是一个复杂的系统过程,对活体细胞代谢过程的认识是实现高效工业生物制造的基础。文中首先综述了工业发酵过程多尺度优化控制原理和实践,包括多尺度理论与装备、细胞宏观代谢在线检测传感技术以及生理代谢参数相关分析。在此基础上,对工业生物过程智能控制——感知细胞内生理代谢特性新型传感技术、大数据库建立和数据深度计算以及生物过程智能决策进行了综述和展望。     

超声诊断仪中数字波束形成的设计

数字接收波束形成是影响医学超声成像系统的性能及硬件复杂度的关键部分.它要求A/D采样率大大高于奈奎斯特频率以满足延时精度的要求,较高的采样率必然导致较高的存储量.本文详细讨论了两种波束形成方法一非均匀采样波束形成和均匀采样波束形成的基本结构和实现过程,并对其性能和复杂度作对比分析,总结出各自的优缺点,选择最佳的实现方法.     

采样参数设置对小鼠心电图波形的影响

目的探讨采样参数设置对小鼠心电图波形的影响。方法选用C57小鼠,戊巴比妥钠麻醉,四肢皮下插针式电极,连接RM6240BD型多道生理信号采集处理系统,选择不同的采样参数设置,对心电图进行采样、记录和分析。结果采样速率、低通滤波、时间常数和陷波滤波等采样参数设置均对心电图波形有影响,部分参数会导致心电图不同形式的变形和失真。结论小鼠的心电图实验中应选择合适的采样参数设置,通过操作技术的改进来提高心电图的稳定性,尽量避免或减少滤波的使用,以获得准确的心电图实验结果。     

IBM微机在生理实验中的应用

本文介绍了一套用于生理实验的软件和硬件系统。系统实现了对生物信号进行实时采集和显示,能把以前采到的波形数据再显示出来,能在指定的时刻输出触发脉冲信号,能方便地测量生物信号的幅度、时间、积分和斜率。本系统已在神经动作电位、肌肉收缩、心电和呼吸运动等实验中得到应用,取得了满意的效果。     

生物电阻抗特征参数测量数据采集系统的研究

为了实现生物电阻抗参数成像,我们建立了一个快速、精确的生物电阻抗特性参数测量的数据采集系统,采取多频率组合激励并扫基频的方法,在多个激励频率不同测量阻抗信息,同时采用了一种新的高精度解调方法;正交序列数字解调,并对阻抗模型参数的估算方法进行了改进。结果表明,系统可以在1．6kHz-380kHz的频带范围内以小于100Hz的跨度编程选择工作频率,最多时可同时在四种频率下测量阻抗信息,系统的噪声水平在－80dB左右。在每周期采样64点的情况下,解调算法可将信噪比提高5．6倍以上。     

多生理参数监护系统设计

本研究开发一种基于Windows的多项生理参数的监护系统,并集成到下肢康复训练系统中对病人的生理信息实时监测。该系统由生理参数传感器检测人体生理信号通过单片机处理,最终通过串口通信发送到上位机进行实时显示。该设计可为动态心电、血压、血氧、体温等多参数人体信号的检测建立一个软硬件系统平台,经测试,该系统稳定且实用性强。     

Manufacture and Performance of Ionic Polymer-Metal Composites

Ion-exchange Polymer Metal Composites （IPMC） are a new class of intelligent material that can be used effectively as actuators and artificial muscles. IPMC was fabricated and its displacement and force characteristics were investigated with respect to voltage, frequency and waveform of the controlling signal. A square waveform input generated slightly larger displacement and force than sinusoidal or triangular waveform. When the voltage was increased and the frequency was decreased, displacement and force were both increased. However, although the bending deformation of IPMC was large, the output force was much lower than we expected. Improvement of the force output is key and is the main obstacle to be overcome in order to make IPMC of practical use.     

一种动物实验监控系统的设计

本文主要设计动物生命体征参数（体温、呼吸率和脉搏率）的监控系统。硬件电路采用MSP430F5438芯片作为微控制器,体温、呼吸和脉搏生理参数的信号采集使用了相应的信号调理电路和处理电路,主要由电信号转换电路、放大滤波电路、AD转换电路、脉冲转换电路、LCD显示电路、加热垫和蜂鸣器驱动电路等组成。     

On-line analysis of neuromuscular bioelectric potentials

A computer system is presented which provides for on-line data capture and analysis of evoked end-plate potentials and action potentials, and on-line data capture with off-line analysis of spontaneously occurring miniature end-plate potentials at the end-plate region of the neuromuscular junction. Sampling of evoked waveforms begins after an adjustable delay following the stimulus. Spontaneously occurring waveforms are captured by 'freezing' the contents of a circular buffer. The software provides MENU selectable support functions including storage and retrieval of data and calculated parameters, analog and digital display of waveforms, data calibration and gain modification, data editing, file management, and hardcopy output. Calculated parameters of the waveform are optionally placed in a data base file by the analysis programs. The data base may be used for editing, arithmetic operations, and subsetting of variables as well as statistical analysis and plotting of any selected variables.     

基于ADS8332的生理信号采集系统电路设计

本文介绍了医学生理信号的的特点,根据其特点设计出了针对医学生理信号进行采集的电路。该电路设计实现了基于16位的高精度A/D 转换芯片ADS8332 的医学生理信号采集系统,以基于Cortex-M3 内核的32 位微控制器STM32F103RD作为采集控制芯片,该系统电路可以实现对最多16 个通道的模拟医学生理信号进行采集。此电路设计充分利用了ADS8332 的高精度、低功耗、高采样速率的特点以及片上集成功能,并配合了信号调理电路和相应的抗干扰措施,因此保证了医学生理信号的采集精度和系统的稳定性。     

基于 ADS8332 的生理信号采集系统电路设计 *

摘要： 本文介绍了医学生理信号的的特点, 根据其特点设计出了针对医学生理信号进行采集的电路。该电路设计实现了基于 16 位的高精度 A/D 转换芯片 ADS8332 的医学生理信号采集系统,以基于 Cortex-M3 内核的 32 位微控制器 STM32F103RD 作为采 集控制芯片, 该系统电路可以实现对最多 16 个通道的模拟医学生理信号进行采集。此电路设计充分利用了 ADS8332 的高精度、 低功耗、 高采样速率的特点以及片上集成功能, 并配合了信号调理电路和相应的抗干扰措施,因此保证了医学生理信号的采集精 度和系统的稳定性。     

Linear model of brain electrical activity—EEG as a superposition of damped oscillatory modes

EEG time series were modeled as an output of the linear filter driven by white noise. Parameters describing the signal were determined in a way fulfilling the maximum entropy principle. Transfer function and the impulse response function were found. The solutions of the differential equations describing the system have the form of the damped oscillatory modes. The representation of the EEG time series as a superposition of the resonant modes with characteristic decay factors seems a valuable method of the analysis of the signal, since it offers high reduction of the data to the few parameters of a clear physiological meaning.     

System for acquisition and real-time processing of multidimensional slit-scan flow cytometric data

The high-speed sampling requirements of multidimensional slit-scan signals (cell contours) have typically required custom hardware. This specialized hardware has often lacked the flexibility to adapt to varying instrument setups and experimental requirements. A hardware and software system capable of sampling multiple slit-scan cell contours at rates of up to 40 MHz with 10-bit resolution is described. It utilizes commercially available CAMAC transient recorders, a Digital Equipment Corp. PDP-11/83 computer, and custom hardware for signal conditioning and trigger generation. The modular design of the software system allows various hardware options with minimal additional coding. Real-time digital processing checks each cell contour for multiple peaks; extracts morphological features such as width, height, and area; accumulates gated histograms of these data; and optionally saves the derived data, selected contours, or both into list mode files on disk.     

Biomedical signal and image processing

Generally, physiological modeling and biomedical signal processing constitute two important paradigms of biomedical engineering (BME): their fundamental concepts are taught starting from undergraduate studies and are more completely dealt with in the last years of graduate curricula, as well as in Ph.D. courses. Traditionally, these two cultural aspects were separated, with the first one more oriented to physiological issues and how to model them and the second one more dedicated to the development of processing tools or algorithms to enhance useful information from clinical data. A practical consequence was that those who did models did not do signal processing and vice versa. However, in recent years,the need for closer integration between signal processing and modeling of the relevant biological systems emerged very clearly [1], [2]. This is not only true for training purposes(i.e., to properly prepare the new professional members of BME) but also for the development of newly conceived research projects in which the integration between biomedical signal and image processing (BSIP) and modeling plays a crucial role. Just to give simple examples, topics such as brain–computer machine or interfaces,neuroengineering, nonlinear dynamical analysis of the cardiovascular (CV) system,integration of sensory-motor characteristics aimed at the building of advanced prostheses and rehabilitation tools, and wearable devices for vital sign monitoring and others do require an intelligent fusion of modeling and signal processing competences that are certainly peculiar of our discipline of BME.     

基于网络的昆虫发育进程自动模拟系统

为了有效的预测害虫的发生期,开发了昆虫发育自动模拟系统,该系统基于网络平台,应用PHP丰富的函数库和计算功能设计有效积温运算模块,通过公共气象信息系统建立了气象数据库,并根据实时及预报的公共气象信息,即逐日最高及最低气温,昆虫发育有效积温相关的生物学参数,运用正弦法计算每天的有效积温及一段时间的累计积温,自动模拟昆虫在不同时期的发育虫态和虫龄。服务器端基于Apache+PHP+MySQL架构,操作简单,调试和维护方便。经与2011年江苏通州烟粉虱Bemisia tabaci(Gennadius)、灰飞虱Laodelphax striatellus(Fallén)系统调查数据比对,符合实际发生情况,可在生产上推广应用。