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A Deterministic Approach for Finding the T Onset Parameter of Flatten T Wave in ECG

机译:确定心电图中平坦T波T起始参数的确定性方法

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Identification of the exact nature of flatten T wave in ECG signal is Classification of normal and abnormal T wave episodes especially, regarding Flatten T wave in electrocardiography (ECG) signal is still a complex phenomenon for cardiologists. Identification of Flatten T wave depends on four parameters; Time duration (T-dur) T onset (T-on), T offset (T-off ) and T peak (T-pk) values which play a vital role to identify the exact nature of Flatten T wave. The proposed approach is used to extract the T-on value of Flatten T wave with the detection of R peaks and RR intervals. The proposed approach is applied to ten different subjects of Flatten. It is divided into three distinct phases. Firstly, Flatten signals are segmented by lead wise. Secondly, noise filtration is done to identify the peak values and removal of low-frequency components. A third phase computes the R peak values and RR intervals with the help proposed algorithm. By using the R peak value as a fiducial point and considering the last interval of RR interval instead of complete T wave alternans detection algorithm (TWA) for determination the T(on )parameter of Flatten T wave. The experimental evaluation manifests that efficiency factors are high in rate during the operational investigations (closest to the range of 100%). These efficiency factors have been discussed in the context of accuracy, sensitivity, prediction and error rate. These operation efficiency factors will play a benchmark role in future for calculation the others parameters of Flatten T wave.
机译:ECG信号中扁平T波的确切性质的识别尤其是正常和异常T波发作的分类,尤其是对于心电图(ECG)信号中的扁平T波,对于心脏病专家来说仍然是一个复杂的现象。平板T波的识别取决于四个参数。持续时间(T-dur)T起始(T-on),T偏移(T-off)和T峰值(T-pk)值对于确定Flatten T波的确切性质起着至关重要的作用。所提出的方法用于通过检测R峰和RR间隔来提取Flatten T波的T-on值。拟议的方法适用于Flatten的十个不同主题。它分为三个不同的阶段。首先,扁平化信号按先导分段。其次,进行噪声过滤以识别峰值并去除低频分量。第三阶段借助提出的算法计算R峰值和RR间隔。通过使用R峰值作为基准点,并考虑RR间隔的最后一个间隔,而不是使用完整的T波交替检测算法(TWA)来确定Flatten T波的T(on)参数。实验评估表明,在运筹学期间效率因素的使用率很高(最接近100%的范围)。这些效率因素已在准确性,敏感性,预测和错误率的背景下进行了讨论。这些运行效率因素将在将来计算Flatten T波的其他参数方面发挥基准作用。

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