Amplitude changes of R wave and T wave in exercise test and their values in diagnosis of coronary heart disease 运动试验中R波及T波振幅变化对诊断冠心病的意义
Comparison of the Methods for Detecting R Wave in Electrocardiogram 心电信号中R波检测方法的比较研究
Diagnostic Value of R Wave Amplitude Changes During Stress Testing and Its Mechanism R波振幅改变在运动试验中的诊断价值及发生机理
The hardware design adopts electrocardiosignal amplifying with transthoracic lead, then differentiator and full wave rectification, at last the R wave is detected by the optional voltage comparator. 硬件部分设计采用胸部双电极单导联输入心电信号,放大后再经微分电路和全波整流电路的处理,最后通过可选择的电压窗口比较器输出最终的R波信号检测结果。
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。
Analysis and Mechanism Study on amplitude variation of an observation indication of exercise test R wave 运动试验观察指标R波振幅改变的分析及其机制探讨
This paper introduces a portable microprocessor-based real-time dynamic ECG monitor. We adopt digital filter to eliminate interference and noise, and differential method to distinguish the starting point, end point of QRS complex, and the apex of R wave. 本文介绍了一种用微处理器控制的实时动态心电监护系统,采用数字滤波消除干扰和噪声,用差分法识别QRS波起点、终点和R波顶点。
It was used to test date in MIT database and the success rate of R wave detection reached 99. 8%. 对MIT数据库中的数据进行了检测,R波的检测率可达99.8%。
Based on the concept of lead vector, we discuss the reconstruction algorithm, and analyze the quality of the result according to correlation coefficient, R wave amplitude and ST segment. 本文从导联向量的概念出发,讨论了重建的算法,对重建结果进行了相关系数,R波幅值,ST段的分析。
Study on Application of Multichannel Transient R wave exploration 多道瞬态瑞雷波勘探应用研究
R wave in Group B was higher than that in Group C. B组R波电压较高,而C组较低;
This paper introduces a practical and real-time R wave detection algorithm as well as its realization and adjustment by DSP/ BIOS of RTOS. 介绍了一种心电信号R波快速检测算法在实时操作系统DSP/BIOS中的实现过程和调试评测方法。
This paper describes an experimental circuit with synchro-counterpulsation. The R wave is used as a triggering signal of synchronous switch. 本文介绍了一种同步反搏实验电路,利用R波作为同步开关的触发信号,用QT间期作为收缩和舒张的时间间隔。
By using the relation between the signal singularity and its wavelet transforms, a software for R wave in detection is designed. The result is very satisfying in detecting R wave of ECG database of MIT/ BIH. 本文利用信号奇异点及其小波变换的关系,设计了HRV信号的R波获取软件,对MIT/BIH心电数据库中的37个记录文件进行R波的检测实验,检测实验效果令人满意。
R wave detection and location algorithm for heart rate variability 一种适用于心率变异分析的R波检测与定位算法
With accurate R wave position, analysis of HRV based on RR intervals is possible. 在准确探测R波的基础上,可对以RR间期为基础的URV信号进行分析。
The results showed that the ECG of burned rats had not only a prolonged P-P, P-R, QT interval and QRS, but also an elevated ST segment and R wave. 烫伤导致大鼠心电图P-P、PR和QT间期延长,QRS波增宽和心率减慢,还引起ST段抬高,R波增高。
The wavelet analysis has been applied in R wave detection effectively to display the advances of multi-scale analysis to check such non-stationary signals as ECG. 小波分析在R波检测方面得到了有效应用,显示了多尺度分析在分析诸如心电信号这样非平稳信号方面的独特优势。
The first phase for the analysis of HRV is to check and locate the R wave precisely. HRV分析的第一步是心电R波的准确检测。
R Wave Detecting Device for γ Camera and Cardiometer 用于γ相机和心功能仪的R波检出装置
Based on the propagation characteristics of R wave, the horizontal propagation wave is simulated by using R wave, the vertical propagation wave is also simulated by using body wave in calculating dynamic response of pavement structures. 提出了在道路结构动力响应计算中,利用面波来模拟水平向传播波,利用体波来模拟竖直向传播波。
In addition, in order to make the acquisition of wave data, image processing method and the threshold approach are given to resolve data sampling and detect R wave. 另外,在心电信号采样过程中采用了图像处理的方法,实现了一定频率的数据采样;并且利用阈值法对R波进行准确定位,从而保证了波形数据的准确性和可靠性。
ST segment elevation, pathological Q wave and R wave disappearance were the sensitivity signs of ARVI. ST段抬高、病理Q波和R波丢失为急性右室心肌缺血和梗塞的敏感指标。
The variation of R wave amplitude has little relation with cardiac output, heart pumping function, especially with pulmonary wedge pressure. R波振幅的改变与心输出量及心脏的泵血功能,尤其是肺动脉楔压之间无明显关系。
We proposed a physiological signal preprocessing algorithm based on wavelet transform. Preprocessing the acquired physiological signal with our algorithm, we propose an algorithm of R wave extraction by self-adaptive wavelet transform for the subsequent analysis. 提出了基于小波变换的生理信号预处理算法,并采用本文预处理算法对真实采集到的生理信号进行了预处理,提出了自适应小波变换模极大值的R波提取算法。
Then, the thesis discusses about the two typical R wave detecting methods: differentiator threshold method and wavelet modulus maxima method, whose shortages are discussed. 而后,对两种典型的R波识别方法差分阈值法和小波模极大值法进行讨论,分析了它们的不足。
The study work of this paper mainly about: ( 1) Use the methods of wavelet transformation for dynamic ECG preprocess and feature detection. Through calculating wave peak two times to increase the correctness of adaptive threshold R wave detection. 本文进行的研究工作主要有:(1)动态心电实时分析的研究:采用小波变换的方法对动态心电进行预处理和特征提取,通过两次寻找波峰的操作增大R波检测的准确性。
Using the relationship between wavelet transforms and signal singularity point, we detect the peak of R wave in scale 23, the begin and the end of QRS wave in scale 21. 该算法利用小波变换与信号奇异点的关系,在23尺度下识别R波,在21尺度下对QRS波的起点和终点进行检测。