QRS detection is the foundation of automatic ECG analysis system.
QRS波检测是心电信号自动分析的基础。
QRS detection is the key of computerized ambulatory ECG analysis.
QRS波检测是动态心电分析中的关键。
Two kinds of detection technique namely QRS detection with dual time constant and photoelectric pulse detection were used.
电路采用两种检测技术，一种为双时值QRS波检测法，另一种为光电脉搏检测法。
At last, the validation of QRS detection and t wave detection was implemented using the MIT-BIH Arrhythmia Database and the QT Database separately.
最后分别利用了MIT—BIH数据库和QT数据库对QRS波检测效果和T波检测效果进行了验证。
On account of the operation speed and accuracy, we researched two algorithms used in QRS detection: derivative-window method and wavelet-based method.
出于算法运行速度和准确性的考虑，着重研究了QRS波检测的两种算法：一阶微分窗口积分法和小波时间-尺度检测法。
Conclusion QRS detection rate can be greatly improved when specific QRS template is obtained from the nonlinear transformation of the different wavelet scales.
结论综合利用小波变换不同尺度进行非线性变换所得到的模板可以显著提高QRS复合波的检测率。
A new adaptive matching filtering algorithm, based upon synthetic characteristics of wavelet transform of signal along margins of various scales for QRS detection, is developed.
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。
The method USES both frequency property and amplitude property of QRS wave and gets better detection results than the traditional method, which USES frequency property of QRS wave only.
该方法充分利用了QRS波的频率特性和幅度特性，比传统的只利用频率特性的检测方法精度要高。
Objective To improve QRS complex detection rate.
目的有效提高QRS复合波的检测率。
Using this filter, peak detection and some other logic, an algorithm is developed that is able to locate the R-peak of QRS complex.
使用滤波器增强QRS波群，并结合峰检测和其他一些逻辑，实现了R波的准确定位。
The detection algorithm that adopts tow-level finite difference and extremal theory is used to locate the R wave and the one-level and tow-level derivative methods is used when detect QRS wave.
对于R波，采用二级差分和极值方法定位，对QRS波群采用一阶导数与二阶导数并用算法进行检测。
QRS complex detection is the principal factor in ECG signal detection and the important gist in cardiovascular disease diagnosis and ECG monitor.
QRS波的检测是ECG信号检测中的首要问题，心脏病诊断和心电监护的重要依据。
A method for quartz rate sensor (QRS) using digital correlation detection is proposed to improve the performance of QRS.
为提高石英角速率传感器(QRS)的测量性能，提出了基于数字相关检测技术的QRS信号解调方案。
Detection of QRS is the key of ECG automatic analysis, so differential algorithm is implemented with DELPHI.
QRS波检测是心电自动分析的首要问题，用DELPHI编写了差分算法实现QRS波检测的程序模块。
But the pulse waveform obtained from this method merely has distinctive features such as the QRS complexes in ECG, so the ratio of correct detection of pulse waveform is always low.
由于采用双波长法得到的脉搏波信噪比较低，且脉搏波又不具有明显的特征(例如心电信号中有QRS波群)，因此常用的脉搏波波形识别方法正确检出率不高，经常出现漏检或误检。
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 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。
应用推荐