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Description: 读取并显示MIT心电数据库文件（测试文件在res目录下），可进一步开发心电的诊断功能-read and display MIT ECG database files (documents for the test res directory) further development of diagnostic cardiac function
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Size: 771579 |
Author: 昭君 |
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Description: 利用MIT心电数据库编写的检测ECG信号的程序-use MIT ECG database prepared by the ECG signal detection procedures
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Size: 3232 |
Author: 王鑫 |
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Description: 利用MIT心电数据库编写的检测ECG信号的程序-use MIT ECG database prepared by the ECG signal detection procedures
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Size: 3223 |
Author: judy570 |
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Description: 读取并显示MIT心电数据库文件（测试文件在res目录下），可进一步开发心电的诊断功能-read and display MIT ECG database files (documents for the test res directory) further development of diagnostic cardiac function
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Size: 771072 |
Author: 昭君 |
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Description: 利用MIT心电数据库编写的检测ECG信号的程序-use MIT ECG database prepared by the ECG signal detection procedures
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Size: 3072 |
Author: 王鑫 |
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Description: 用于读取mit心电数据库程序，运行环境matlab，对研究心电非常有用！-Mit to read ECG database program, runtime environment matlab, the study ECG is very useful!
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Size: 2048 |
Author: rex |
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Description: 将MIT-BIH标准心电数据库中的数据读入到matlab中的程序-The MIT-BIH ECG database to read the procedure in matlab
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Size: 2048 |
Author: xucheng |
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Description: MIT-BIH心电数据库中包含有大量的心电信号，用户可以直接下载这些信号用于信号分析，算法验证等。但是其数据存储格式复杂，只能用其提供的工具包进行读取，很不方便。本源码可以直接读取MIT-BIH中的format212和format16格式的心电数据，免去了学习其繁琐工具包的过程。-MIT-BIH ECG database contains a large number of ECG signals, users can directly download these signals used in signal analysis, verification algorithm. However, the complexity of its data storage format, can only provide a toolkit to read, very inconvenient. The source can be directly read the MIT-BIH in format212 and format16 ECG data format, which eliminates the cumbersome tool kit to learn their process.
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Size: 6144 |
Author: yequnsong |
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Description: 一个将MIT/BH心电图数据库中的数据转换成INTEL格式文件并显示出来的程序，自己写的-An MIT/BH ECG database data into INTEL format and display procedures, wrote it myself
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Size: 1987584 |
Author: wangjizhou |
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Description: K-MEANS算法
输入：聚类个数k，以及包含 n个数据对象的数据库。
输出：满足方差最小标准的k个聚类。
处理流程：
（1） 从 n个数据对象任意选择 k 个对象作为初始聚类中心；
（2） 循环（3）到（4）直到每个聚类不再发生变化为止
（3） 根据每个聚类对象的均值（中心对象），计算每个对象与这些中心对象的距离；并根据最小距离重新对相应对象进行划分；
（4） 重新计算每个（有变化）聚类的均值（中心对象）-K-MEANS algorithm Input: cluster number k, and contains n data object database. Output: the minimum standards to meet the variance k-clustering. Deal flow: (1) a data object from the n choose k object as initial cluster centers (2) cycle (3) to (4) until a change in each cluster is no longer so far (3) according to each Clustering objects mean (central object), calculated for each object with these centers to object distance and in accordance with a minimum distance between a re-division of the corresponding object (4) re-calculated for each (change) clustering of the mean (central object )
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Size: 3072 |
Author: 快快 |
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Description: 在Matlab中读取 MIT-BIH数据库中的ECG信号的函数-Matlab read in the MIT-BIH database function ECG signal
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Size: 3072 |
Author: 王磊 |
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Description: 读取MIT BI心电数据库文件，使用matlab编程，-MIT BI read ECG database file, use the matlab programming,
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Size: 2048 |
Author: dh |
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Description: 读入MIT库的心电信号，并利用小波分析的方法去除其基线漂移。-Read into the MIT ECG database and using wavelet analysis to remove the baseline drift.
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Size: 696320 |
Author: 张军 |
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Description: 心电信号在线数据知识化辅助诊断算法研究
摘 要:针对心电监护与诊断过程中数据量大、准确性和快速性要求高的特点,提出了一套基于数据知识化的心电
辅助诊断算法.该套算法包括数据识别、冗余处理、转换和提取过程,利用小波变换的多分辨率和抗干扰能力好的
特点,检测QRS波、P波、T波,提高了特征检测的准确性 利用聚类分析具有较好的鲁棒性和适合于大数据量分析
的特点,对QRS进行波形分类 算法结合了单独一搏诊断和串诊断以及多参数综合分析.采用MIT-BIH标准心电
数据库中的部分数据和心电专家确诊的心律失常数据文件对该算法进行了评估,检出率都在95 以上,表明该套
算法对部分心律失常可以进行有效分析.
-A series of data knowledge discovery based electrocardiograph (ECG) auxiliary diagnosis algo-
rithms were presented against the characteristics of huge data quantum, high accuracy and rapidity de-
mands in the ECG monitor and diagnosis process. The algorithm consists of several stages, including data
distinguishing, data redundant processing, data conversion and data extraction. The characteristics of
wavelet transform, multiresolution and high anti-interference, were used to detect QRS, P and T waves
and improve the accuracy of character detection. Clustering analysis characterized by better robustness and
capability to analyze huge data quantum was used to classify QRS wave. The algorithm combines diagnosis
based on one beat, string diagnosis and comprehensive analysis with multiparameters. Verified by partial
data of MIT-BIH standard ECG database and arrhythmia data files diagnosed by ECG experts, the detect-
ability exceeded 95 , which showed that the algorithm could analy
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Size: 68608 |
Author: Shi |
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Description: PhysioNet 8格式数据的读取程序，MATLAB平台，可用于读取nsr心电数据库等。-PhysioNet 8 format data read program, MATLAB platform that can be used to read nsr ECG database.
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Size: 3072 |
Author: cgh |
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Description: 对MIT-BIH库内ECG数据进行60Hz（美国工频）进行陷波，有群延迟，但效果良好，后续特征检测无障碍-On the MIT-BIH ECG database data 60Hz (U.S. frequency) to trap, there is group delay, but the result was good, the follow-up feature detection Accessibility
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Size: 3072 |
Author: 谭玉磊 |
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Description: MIT-DB标准数据库中心电信号的读取程序可用于心电信号压缩与编码-MIT-DB standard ECG database, the reading program can be used for ECG signal compression and coding
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Size: 695296 |
Author: liuyongwang |
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Description: 实现MIT数据库ECG信号的读取，并进行QRS波形的检测-ECG signal MIT database achieved the reading, and for detection of QRS wave
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Size: 758784 |
Author: pdc |
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Description: 心电图识别QRS波形。含有MATLAB源码及155个波形文件组成的CSE心电数据库。-QRS ECG waveform recognition. Contains MATLAB source code and files consisting of 155 waveforms CSE ECG database.
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Size: 23633920 |
Author: guanhongyan |
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Description: 心电图数据的绘制，QT库编写，选用MIT心电图数据库进行2-D波形的绘制-ECG data rendering, QT library to write, use MIT ECG database for 2-D drawing of the waveform
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Size: 10663936 |
Author: 艾敏 |
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