远程医疗系统前端的设计和实现

远程医疗系统前端是远程医疗系统的重要组成部分之一,研究高性能且低价格的医疗前端对推动远程医疗系统的广泛应用有着十分重要的意义。本文叙述了基于Ｉｎｔｅｒｎｅｔ在ＰＣ上实现的一个远程医疗系统前端。前端由以８９Ｃ５１单片机和多通道Ａ／Ｄ芯片 ＭＡＸ１５５为核心设计的数据采集卡、基于 Ｓｏｃｋｅｔ实现的网络通讯程序以及基于 Ｗｉｎｄｏｗｓ环境设计的用户界面管理程序构成。所设计的前端具有广泛的适应性和较高的性能价格比。     

A telemedicine tool to detect pulmonary pathology using computerized pulmonary acoustic signal analysis

BackgroundDetection and monitoring of respiratory related illness is an important aspect in pulmonary medicine. Acoustic signals extracted from the human body are considered in detection of respiratory pathology accurately.ObjectivesThe aim of this study is to develop a prototype telemedicine tool to detect respiratory pathology using computerized respiratory sound analysis.MethodsAround 120 subjects (40 normal, 40 continuous lung sounds (20 wheeze and 20 rhonchi)) and 40 discontinuous lung sounds (20 fine crackles and 20 coarse crackles) were included in this study. The respiratory sounds were segmented into respiratory cycles using fuzzy inference system and then S-transform was applied to these respiratory cycles. From the S-transform matrix, statistical features were extracted. The extracted features were statistically significant with p < 0.05. To classify the respiratory pathology KNN, SVM and ELM classifiers were implemented using the statistical features obtained from of the data.ResultsThe validation showed that the classification rate for training for ELM classifier with RBF kernel was high compared to the SVM and KNN classifiers. The time taken for training the classifier was also less in ELM compared to SVM and KNN classifiers. The overall mean classification rate for ELM classifier was 98.52%.ConclusionThe telemedicine software tool was developed using the ELM classifier. The telemedicine tool has performed extraordinary well in detecting the respiratory pathology and it is well validated.     

远程弱视治疗系统的设计与实现

传统的弱视治疗手段存在很多问题,文章针对这些问题设计并实现了远程弱视治疗系统,通过Internet将家庭治疗环境与医院治疗中心相连,使患者得到针对其个性的治疗,可有效地提高弱视治疗的成功率。文章讨论其原理、系统设计及实现技术。     

移动远程心电监护系统监护中心的设计

针对现有远程心电监护设备移动性差、智能化程度低、救治功能缺乏等问题，结合新一代GPRS移动通信技术和智能心电分析技术，开发了一套新型的移动智能远程心电监护系统，具有“全时空”动心电监护、识别与分类和患者救治远程指导等突出特点。本文详细介绍系统监护中心的设计，包括通信服务器、监护工作站、分析工作站和数据库服务器等。     

基于ARM心电血压监测仪的USB接口设计

介绍了一种应用于家用心电血压监测仪与计算机进行高速数据传输的接口方案,采用ARM内核控制器与USB专用控制芯片,实现了心电、血压数据的快速无失真传输,重点阐述了S3C44B0X与USB控制芯片USBN9603的硬件连接和USB固件设计,以及上位机WDM驱动程序的开发思路和方法。     

基于多线程技术的远程心电监测系统

本文介绍了.NET框架下的Windows服务及多线程技术,将其相结合,灵活应用到远程心电监测系统中,通过串口扩展板,实现了多端口同时监测远端心电传输请求,并完成心电数据的无失真接收,大大提高了资源利用率和远程心电诊断系统的整体性能。     

上海医科大学“远程医疗系统”模型的建立和研究

“远程医疗”是计算机通信技术和医学工程技术高度发展的产物.进入网络信息时代,网络化多媒体技术的发展更是推动了“远程医疗系统”的研究和实现.本文根据作者在上海医科大学所进行的一些工作,阐述了作者在国内首家实现的上海医科大学“远程医疗系统”模型分布式、开放性的技术特点和实施过程中的一些技术细节,并对远程医疗系统在我国的开展和推广进行了一些研究和展望.     

基于Android的心电监护终端的设计与实现*

家用心电监护产品发展迅速,数字化、智能化、简单化、网络化成为心电监护产品的发展趋势。本文基于Android系统设计实现了心电监护软件,软件可以稳定接受心电信号采集端传送的心电数据,实现心电信号的分析、存贮以及心电波形的绘制功能,并能通过3G网络实时推送心电数据至远程监护端,有效改善了心电监护设备的便携性和实时性,有助于医疗人员或医疗机构对患者心电信号的远程监控,运行结果表明：该系统性能稳定,达到了系统设计要求。     

A blind equalization algorithm for biological signals transmission

Direct transmission of biological signals such as electrocardiogram (ECG) and electroencephalogram (EEG) through mobile network provides practically unlimited movement of the patients and unlimited coverage area. However, transmission of such signals over a bandlimited channel or through a multipath propagation is subject to inter symbol interference (ISI), whereby adjacent symbols on the output of the channel smear and overlap each other causing degradation of error performance. Mitigation of such kind of distortion can be achieved through equalization filter. Recently an adaptive blind channel equalization using sinusoidally-distributed dithered signed-error constant modulus algorithm (DSE-CMA) has been proposed. In this paper we investigate the performance and the feasibility of this scheme for wireless ECG and EEG transmission. Also, this paper discusses the importance of adaptive blind equalizer for biological signals transmission over existing wireless networks such as Global System for Mobile Communications (GSM) and the Enhanced Data rates for GSM Evolution (EDGE). The geometrical-based hyperbolically distributed scatterers (GBHDS) channel model for macrocell environments was simulated with angular spreads (AS) taken from measurement data. Simulation results show that the low complexity of implementation and the fast convergence rate are the major advantages of deploying this scheme for telemedicine applications. It is also shown that the equalizer output signal is highly correlated with the original transmitted signal in time and joint time-frequency domains.