Description: 该代码首先对ECG信号进行消噪过滤，并且对信号进行平方，加窗等处理，最后用于对QRS波形的检测，压缩文件内同时包含了2个心电数据信号，可直接用于测试-The code first ECG signal de-noising filter, and the square of the signal, such as window handle, and finally used for the detection of QRS waveform, at the same time compressed file contains two ECG data signals can be directly used to test Platform: |
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Author:zhengp |
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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 Platform: |
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Author:pdc |
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Description: 心电图的自动分析、诊断已经广泛地应用于心脏的功能检测、心血管疾病的诊断和预防以及心电监护等多方面。QRS波群的检测是心电信号分析中最为关键问题，其精确检测是心电图自动诊断的基础。这是因为只有在确定QRS波群后才有可能计算心率、心率变异性并进一步检测和分析心电的其他细节。一个正常的ECG信号是由一系列的波形-Automatic ECG analysis, diagnosis has been widely used in heart function tests, diagnosis and prevention of cardiovascular disease and other aspects of ECG monitoring. Detection of QRS wave group ECG analysis is the most critical issues, the precise detection is the basis of ECG automatic diagnosis. This is because only in determining the QRS wave group may be calculated after the heart rate, heart rate variability and further testing and analysis of ECG and other details. A normal ECG signal waveform by a series of ...... Platform: |
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Author:罗朝辉 |
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Description: 介绍了一种基于神经网络白化匹配滤波器的QRS 波检测方法。我们用神经网络白化匹配滤波器来处
理ECG 信号的低频成分, 模拟其非线性及非稳态的特性。处理后的信号中含有ECG 中大部分高频成分, 让其通过
一线性匹配滤波器来检测QRS 波及其位置。对于大噪声的ECG 信号, 在匹配滤波器后加差分滤波, 取平方及滑动
平均等处理, 提高检测正确率。使用这种方法我们对M IT?B IH 心电信号数据库中噪声比较大的105号数据进行的
处理, 检测正确率为9912 。作为对比, 用数字带通滤波器检测, 正确率为9718 。-Introduced a whitening matched filter based on neural network of the QRS wave detection. We use neural networks to handle the whitening matched filter low frequency ECG signal to simulate the nonlinear and non-steady state characteristics. Processed ECG signal contains most of the high frequency components, let through a linear matched filter to detect the QRS wave and position. For large noise the ECG signal after the matched filter plus differential filter, such as taking the square and the moving average processing, improve the detection accuracy. Using this method we have M IT?B IH noise ECG database of 105 large data processing, testing rate was 9912 correct. In contrast, detection with digital band-pass filter, the correct rate of 9718 . Platform: |
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Author:罗朝辉 |
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Description: 心电信号的计算机分析
通过理论结合实际，用C语言编程对MIT心电信号数据进行分析，实现低通滤波、高通滤波、QRS检测、特征提取、心律失常分析，从中了解和掌握数字信号处理的方法和应用。
-ECG computer analysis by the theory with reality, and C language programming on the MIT ECG data analysis, low-pass filter, high pass filtering, QRS detection, feature extraction, arrhythmia analysis, learn about and master the digital signal processing methods and applications. Platform: |
Size: 2909184 |
Author:焦春雨 |
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Description: 这个程序主要是关于信号处理和特征提取的，主要功能是实现心电信号的QRS波检测，并显示其波形-this process is about signal processing and charastics detection,the main function is to conduct the QRS detection of ECG and provide us with a picture Platform: |
Size: 2048 |
Author:hyqhdl |
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Description: this code is about QRS detection in ECG signal.
you have to enter the signal data, and the output is the position of the Q and R and S wave. Platform: |
Size: 1024 |
Author:AalaaDamas |
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Description: 以软件为主的方法实现QRS波的检测滤波之后的信号一般经过一些
变换以提高QRS波的份量，进而采用一系列阈值进行判别，这些阈值有固定
阈值法，也有可变阈值法。前者由于可能的干扰或高P、高T波的存在，若
其滤波后超过其阈值便会产生假阳性(FP，falsepositive)结果；另外，当心
律失常或QRS波幅度变小，阈值设置过高，会导致漏检产生假阴性(FN，
falsenegative)结果。由于固定阈值的这些缺点，有研究者提出了用可变阈
值检测，以提高检测的精确率，所采用的可变阈值包括幅度阈值、斜率阈值
和时间间隔阈值等。-Give priority to with software method for detecting QRS wave signal after some commonly after filtering
Amount of transformation in order to improve the QRS wave, then using a series of threshold to distinguish, the threshold value is fixed
Threshold value method and variable threshold value method. The former due to the possible interference or the existence of the high P and T waves, if
More than the threshold value is created after the filtering false positives (FP, falsepositive results In addition, be careful
Law of disorder or QRS wave amplitude decreases, threshold is set too high, can lead to leak to produce false negatives (FN,
Falsenegative) results. Due to these disadvantages of fixed threshold, some researchers have proposed using variable threshold
Value detection, in order to improve the precision of detection rate, adopted by the variable threshold including amplitude threshold, the slope threshold
And the time interval threshold, etc. Platform: |
Size: 5120 |
Author:钟能枝 |
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Description: 利用小波变换的方法对心电信号的QRS波群进行检测-The method of using wavelet transform to detect QRS complex of ecg signal Platform: |
Size: 2048 |
Author:宋晓阳 |
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Description: A two-stage mechanism of ECG classification using Gaussian
mixture model(An automatic classifier for electrocardiogram (ECG) based cardiac abnormality detection using Gaussian mixture model (GMM) is presented here. In first stage, preprocessing that includes re-sampling, QRS detection, linear prediction (LP) model estimation, residual error signal computation and principal component analysis (PCA) has been used for registration of linearly independent ECG features.) Platform: |
Size: 487424 |
Author:vidi
|
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Description: ECG的应用，ECG在医疗检测方面发挥着中重要作用，所以，心电信号至关重要(With the application of ECG, ECG plays an important role in medical detection, so ECG signal is very important.) Platform: |
Size: 7168 |
Author:asdfgasdfg1 |
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Search - qrs detection of ecg signal