This is valuable for internationally establishing ECG database and diagnosing in net.
这对在国际上建立心电数据库，进行网上会诊有重要的意义。
The primary objective of this study was to develop an inter-hospital 12-lead ECG database server for exchange and analysis.
本研究项目的主要目的是解决医院不同心电设备的数据转换为统一格式而建立了12导联数据库服务系统。
The platform includes MIT-BIH database and its resample database, a 12 channel synchronous ECG database and a virtual ECG generator.
研究平台包括了MIT-BIH数据库及其重采样数据库、同步12导数据库、虚拟心电信号发生器。
Meanwhile, the paper introduced the design method and realization process of every function module of ECG database management system in monitoring center.
此外，本文也给出了监护中心心电数据库管理系统的设计方法和各功能模块的具体实现原理。
After comparing all kinds of classification methods, this paper shows a new kind of ECG automatic diagnostic system based on the CBR model and some key points on ECG database design in the CBR model.
本文在比较各种分类算法的基础上，提出了应用CBR模型建立心电图自动诊断系统的构想，并阐述了CBR模型中心电图实例库设计的若干关键问题。
In this study, a lot of experiments with the data from both authoritative database and ECG simulator validated the accuracy and feasibility of the proposed algorithm.
采用国际公认的心电数据库的数据对所提出的算法进行了实验研究，验证了算法的精确性和有效性。
Introduces how to build a the ECG Network Information System in Cardiology Dept, and describes the database interface and data interactive of the ECG - NIS.
本文主要阐述我院心电网络信息系统建设的解决方案，重点对ECG-NIS的数据库接口和数据交互方式进行了描述。
The studies include development of generating system of 12-lead synchronous abnormal ECG waveform database, wavelet based QRS complex detection algorism and waveform analysis.
建立了12导联同步心电异常波形数据库生成系统，并在此基础上研究了12导联心电图实时分析与基于小波变换的QRS波自动识别算法。
The establishment of the database will be useful for the automatization of ECG analysis and diagnosis of our country.
该数据库的建立对我国心电分析和诊断自动化进程有著重要的意义。
Through the method of combining a single beat ECG template database and a RR interval simulator, a variety of ECG signal with freely pre-set features could be simulated.
通过将单周期心电信号模板库与RR间期模拟信号结合，本研究实现了种类丰富，逼真度高，可自由调节心率特性的心电信号的模拟。
Some of the electrocardiogram (ECG) diagrams in the course notes were produced using the resources of PhysioNet, especially the MIT-BIH Arryhthmia Database Directory.
本课程笔记中的一部分心电图图表是使用了的生理网的资源而产生的，特别是MIT - BIH心律失常数据库目录。
Some of the electrocardiogram (ECG) diagrams in the course notes were produced using the resources of PhysioNet, especially the MIT-BIH Arryhthmia Database Directory.
本课程笔记中的一部分心电图图表是使用了的生理网的资源而产生的，特别是MIT - BIH心律失常数据库目录。
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