一种心电图QRS波检测方法

作者提出了一种心电图ＱＲＳ波检测方法，该方法采用硬件和软件结合检测ＱＲＳ波，集中了硬件检测的快速性和软件检测的灵活性的优点，经过在多参数病人监护系统中应用，表明该方法准确可靠，快速实用。     

一种高效的QRS波实时检测方法

本文介绍一种高效的ＱＲＳ波实时检测方法。该检测方法由检测电路和判断子程序组成。结合Ｒ波斜率、ＱＲＳ波幅度、持续期，频带等特征进行ＱＲＳ波的综合检测。判断子程序可在单片机系统内实时实现。对检测方法噪声敏感性和检测准确性的测试和临床应用表明该方法具有抗干扰性强，准确率高等特点。     

基于Mexican-hat小波的QRS检测新方法

基于心电信号的特征点对应于Mexican—hat小波变换的极值，我们使用Mexican—hat小波检测心电信号的特征点，为心电信号分析提供了新的检测手段。该方法简单，对心电信号特征点定位准确，快速。经MIT—BIH心电数据库检验，QRS波的检测率达到99．9％。     

心电QRS积分信号的非线性分析

QRS波群积分能反映心室去极化活动,为不少心电研究者所重视。本文采用了非线性的分析方法,在非线性去噪的基础上重构此积分信号的相空间,计算了吸引子的相关维数与最大L yapunov指数值,分析了QRS波群积分的混沌特征。利用MIT- BIH心电数据库数据分析了多种情况下QRS波群积分的非线性指标变化特点,并同HRV信号非线性分析相比较,发现在某些情况下对QRS波群积分序列分析更具有优势。结论是利用QRS波群积分信号的非线性指标可对心脏功能做出评价。     

基于下采样检测QRS波的新方法

针对目前QRS波检测方法的不足,结合心电信号主要集中在0.05～35 Hz这一特点,我们提出了基于下采样的QRS波检测新方法.首先对原始心电信号进行下采样,然后利用自适应、自学习原理设置幅值和斜率阈值检测QRS波,利用不应期特性降低误检率,再利用回溯技术降低漏检率,最后对得到的QRS波进行更新来实现原始心电信号中QRS波的检测.采用MIT/BIH心电数据库的数据和重庆医科大学附属医院提供的临床数据对该方法进行验证,准确率可以达到98%.结果表明该方法简单、快速、检出率高,并且不受采样率的影响.     

基于小波变换的QRS波群实时检测算法

本文研究了基于小波变换方法的心电信号QRS波群检测算法,通过对心电信号进行低通滤波、小波变换、差分平滑、阈值检测和修正策略等技术,提高了QRS波群的检测率.经MIT-BIH心律失常心电数据库全部48例数据的检验,QRS波检测灵敏度达99.82%,真阳性率达99.52%.在Windows环境下可实时实现.     

QRS波群检测方法的新进展

QRS波群检测是心脏病诊断和心电监护的重要方法。本文较全面地阐述了近年来 QRS波群检测的几种实现的方法 ,并分析比较了各种方法的基本理论、实现过程和特点     

用于阶梯测试的QRS波检测模块

本文介绍了一种独立的QRS波检测模块。它应用自动增益控制并优化了二阶差分QRS波检测算法 ,使用简单 ,不需要任何控制输入 ,因此可以应用于多种场合。在 32名志愿者参加的与压力型指脉模块的对照实验中 ,每次 30秒脉搏 (QRS波 )计数差别合理地保持在一个以内 ,满足了设计要求。     

基于频数直方图检测QRS波的新方法

简要评述了从心电图检测QRS波的现行方法(特别是利用小波变换的方法)，指出了其中的不足，还提出了一种简便有效的、基于频数直方图的检测QRS波新方法，介绍了频数直方图的原理，以及用于检测QRS波所依据的匹配原则，并利用MIT／BIH心电数据库的数据及北京工业大学校医院提供的数据对此新方法进行了验证。     

Combined entropy based method for detection of QRS complexes in 12-lead electrocardiogram using SVM

A method based on signal entropy is proposed for the detection of QRS complexes in the 12-lead electrocardiogram (ECG) using support vector machine (SVM). Digital filtering techniques are used to remove power line interference and base line wander in the ECG signal. Combined Entropy criterion was used to enhance the QRS complexes. SVM is used as a classifier to delineate QRS and non-QRS regions. The performance of the proposed algorithm was tested using 12-lead real ECG recordings from the standard CSE ECG database. The numerical results indicated that the algorithm achieved 99.93% of detection rate. The percentage of false positive and false negative is 0.54% and 0.06%, respectively. The proposed algorithm performs better as compared with published results of other QRS detectors tested on the same database.     

A Method for Detecting QRS Waves

作者提出了一种心电图ＱＲＳ波检测方法。该方法采用硬件和软件结合检测ＱＲＳ波，集中了硬件检测的快速性和软件检测的灵活性的优点，经过在多参数病人监护系统中应用，表明该方法准确可靠、快速实用。     

基于神经网络的波型检测方法

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ＭＩＴ／ＢＩＨ心电信号数据库中噪声比较大的１０５号数据进行的处     

Evaluation of real-time QRS detection algorithms in variable contexts

A method is presented to evaluate the detection performance of real-time QRS detection algorithms to propose a strategy for the adaptive selection of QRS detectors, in variable signal contexts. Signal contexts are defined as different combinations of QRS morphologies and clinical noise. Four QRS detectors are compared in these contexts by means of a multivariate analysis. This evaluation strategy is general and can be easily extended to a larger number of detectors. A set of morphology contexts, corresponding to eight QRS morphologies (normal, PVC, premature atrial beat, paced beat, LBBB, fusion, RBBB, junctional premature beat), was extracted from 17 standard ECG records. For each morphology context, the set of extracted beats, ranging from 30 to 23000, was resampled to generate 50 realisations of 20 concatenated beats. These realisations were then used as input to the QRS detectors, without noise, and with three different types of additive clinical noise (electrode motion artifact, muscle artifact, baseline wander) at three signal-to-noise ratios (5 dB, −5 dB, −15 dB). Performance was assessed by the number of errors, which reflected both false alarms and missed beats. The results show that the evaluated detectors are indeed complementary. For example, the Pan-Tompkins detector is the best in most contexts but the Okada detector generates fewer errors in the presence of electrode motion artifact. These results will be particularly useful to the development of a real-time system that will be able to choose the best QRS detector according to the current context.     

A new approach to detect QRS complexes based on a histogram and genetic algorithm

A new approach, based on a histogram and genetic algorithm (GA), has been developed to rapidly and reliably detect QRS complexes of the ECG curve. Here, the new approach is described and the principle of the histogram and GA is explained. The results of detection of QRS complexes using the new method are given. Additionally, as an example of its novel application, the P-wave and f-wave (when atrial fibrillation is absent and present, respectively) are extracted easily and efficiently from the ECG curve using the method.     

A real time QRS detection using delay-coordinate mapping for the microcontroller implementation

In this article, we propose a new algorithm using the characteristics of reconstructed phase portraits by delay-coordinate mapping utilizing lag rotundity for a real-time detection of QRS complexes in ECG signals. In reconstructing phase portrait the mapping parameters, time delay, and mapping dimension play important roles in shaping of portraits drawn in a new dimensional space. Experimentally, the optimal mapping time delay for detection of QRS complexes turned out to be 20 ms. To explore the meaning of this time delay and the proper mapping dimension, we applied a fill factor, mutual information, and autocorrelation function algorithm that were generally used to analyze the chaotic characteristics of sampled signals. From these results, we could find the fact that the performance of our proposed algorithms relied mainly on the geometrical property such as an area of the reconstructed phase portrait. For the real application, we applied our algorithm for designing a small cardiac event recorder. This system was to record patients ECG and R–R intervals for 1 h to investigate HRV characteristics of the patients who had vasovagal syncope symptom and for the evaluation, we implemented our algorithm in C language and applied to MIT/BIH arrhythmia database of 48 subjects. Our proposed algorithm achieved a 99.58% detection rate of QRS complexes. © 2002 Biomedical Engineering Society. PAC2002: 8719Nn, 8719Hh, 8780-y     

Software QRS detection in ambulatory monitoring — a review

The QRS detection algorithm is an essential part of any computer-based system for the analysis of ambulatory ECG recordings. This review asserts that most one-channel QRS detectors described in the literature can be considered as having the same basic structure. A discussion of some of the current detection schemes is presented with regard to this structure. Some additional features of QRS detectors are mentioned. The evaluation of performance and the problem of multichannel detection, which is now gaining importance, are also briefly treated.     

小波变换在心电图QRS波检测中的应用

作者利用信号的小波变换在多尺度边沿上的综合特性，提出了一种新的ＱＲＳ波检测法。有要用Ｍａｌｌａｔ快速算法获得原始ＥＣＧ信号在不同尺度上小波分解信号，将含有大部分高频ＱＲＳ波在多尺度上的分解信号送和一个线性自适应匹配滤波器，匹配滤波器的输出用于检测Ｒ波的位置。对ＭＩＴ数据库中的数据进行了检测，Ｒ波的检测率可达９９．８％。