心音和脉搏信号采集系统的设计

心音和脉搏是反映人体生理及病理的两项重要指标,这里提出了基于单片机和PC机的心音、脉搏信号集成采集系统方案,设计了以单片机为核心的前端信号采集器,将心音和脉搏信号转换为数字量并通过串行通信口传送给上位PC机,在上位机应用程序窗口进行脉搏、心音信号波形的显示。     

基于Android平台的多生理参数监测系统设计

针对目前大多数多生理参数监测产品存在的体积大、价格高的弊端,将智能手机与人体生理参数监测相结合,基于Android平台设计了一种多生理参数监测系统。系统采用集成芯片ADS1292R实现心电和呼吸信号的采集与模/数转换,采用AFE4400实现血氧信号的采集和模/数转换,完成了多生理参数监测系统的硬件和软件设计。设计的系统可实现3个主要功能:信号采集;将信号通过蓝牙模块发送到手机终端;在手机终端实现心电、脉搏波波形的绘制以及心率、呼吸、血氧和脉搏值的实时显示。     

基于STM32的无线脉搏信号监测系统设计

脉搏波信号包含着心脏和血管状况的重要信息。目前,在我国针对心血管疾病监测以有线方式、体积大且价格昂贵等缺点,不易于社区医疗以及家庭保健监护。本文综合应用移动通信技术、嵌入式技术与电子信息处理技术,开发一种可视化、无线脉搏监测系统。系统包括脉搏传感器、用户智能终端与远程监护中心3部分。脉搏传感器采集脉搏信号;智能终端对信号处理、存储,以GPRS方式完成数据的上传与接收;远程监护中心分析终端上传数据,并将诊断结果及建议以无线方式下发至用户终端。本系统可以作为家庭监护及远程医疗辅助设备,它适用于社区、家庭的健康监护,有着广阔的应用前景。     

基于WBAN的智能康复监测护理系统设计和实现

针对传统生理参数监测的不足,基于无线体域网（WBAN）设计并实现了用于康复训练的智能康复监测护理系统。本文首先根据人体生理信号检测原理检测人体的心电、皮肤电阻、脉搏和体温信号,然后通过Crossbow无线传感器网络平台将检测到的数据实时传输到上位机,最后在上位机监控软件上实现对患者的生理信号实时显示和监控。文中详细介绍了系统的软、硬件设计,并对实验结果进行了处理和分析,实验结果表明该系统能对患者的生理状态进行实时监测。     

基于脉搏波的人体窦性心率过缓检测方法

随着可穿戴技术的快速发展,可穿戴产品中对人体生理信号分析的需求日益强烈。光电容积脉搏波技术作为一种能够体现人体心血管健康状态的重要生理信号已经开始应用到医疗、老人监护和健康监测的众多可穿戴产品之中。采用支持向量机(SVM)的分类算法,设计了一个基于光电容积脉搏波的人体窦性心率过缓检测系统。通过对光电容积脉搏波数据的采集、存储以及特征向量的提取,并利用支持向量机的分类算法,提出了一个判别用户当前心率状态是否处于窦性心率过缓的检测方法。通过实验测试,确定了分类器的最佳设置参数为C=38,g=7,此时分类准确率达94.44%,测试集验证的正确判决率达94.18%。该技术为基于光电容积脉搏波的可穿戴计算产品提供了一种新的应用领域。     

一种测量人体脉搏波的方法、装置及系统

文中介绍了一种基于莫尔条纹原理进行接触式人体脉率和脉搏波测量的装置及系统。利用平面连杆机构传动并转换脉搏跳动信号,通过光栅检测装置获得相应的脉搏位移信号;利用放大电路对脉搏位移信号进行放大处理后,传输到信号数字化处理装置,对脉搏数字信号进行分析处理生成目标脉搏数据,将目标脉搏数据传输到预设的显示电路。该装置和系统可以对人体脉搏进行实时监测并通过有线或无线通信的方式远程监控人体的实时脉率及脉搏波形图,从而有效提升用户的使用体验。     

基于LabVIEW的光电容积脉搏波信号采集系统

光电容积脉搏波包含了人体丰富的生理、病理信息,对其进行实时监测可为临床研究和诊断提供科学的指导.开发了一套基于图形化虚拟仪器工程设计平台LabVIEW的光电容积脉搏波信号采集系统,可完成对该信号的实时采集、显示和数据存储.经过指端光电容积脉搏波信号的透射式采集实验,在LabVIEW前面板上准确显示出了该信号的波形,有助...     

一种便携式多体征参数监护系统的设计及实现

采用模块化设计的方法,设计并实现了一种便携式实用新型医疗健康监护系统。系统由人体生理参数采集电路、微控制电路和系统软件三部分组成,可对人体常见的体征参数进行采集、处理和显示。实验对比结果表明,监护系统能准确稳定地对人体体温、脉搏、呼吸、心电、血压、血氧等多个参数进行实时测量、保存和显示,并能通过蓝牙和Wi Fi进行无线传输。     

基于ZigBee技术的人体健康监测平台

基于ZigBee技术,采用脉搏、ECG和SpO₂等微型传感器,感知人体生理信号;利用多变量自回归模型进行算法处理和数据融合,提高信号的可靠性和准确度;通过ZigBee无线网络,将信号传送到终端设备,开发一种对人体的心率、脉搏和血压进行同时、实时、随时监测系统,由此诊断人体的健康状况。实验表明,该平台性能稳定,在数据采集和传输等方面均达到了设计要求。     

脉搏波信号采集与分析方法的研究

人体生命体征信息是指人体生理和病理信息,是判断病人的病情轻重缓急以及病情诊断的依据。脉搏信号是人体众多信号中较具代表性的一种,携带有丰富的人体健康状况信息。文章从目前使用较为广泛的两种脉搏信号采集方法出发,着重分析了压力脉搏波信号分析方法的临床适用性及应用现状,提出了应对脉搏波进行更为深入的研究,从而为人体脉搏波信号采集与分析系统的设计提供科学的依据。     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

How do children do mathematics with LOGO?

Abstract  This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development.