利用小波分析提取心电信号波形形态点
Finding morphology points of electrocardiographic signal waves using wavelet analysis
摘要：
已经开发了一种新的算法，用于描绘各种心电图信号（ECG）波的重要点，考虑到来自所有可用导联的信息，并提供与其他现代技术相比类似或更高的准确性。QT数据库的测试结果显示，检测ECG波峰时的灵敏度高于97%，检测其起始和偏移时的灵敏度为96%，与先前已知的算法相比，具有更好的阳性预测值。与以前发表的算法相比，所提出的方法还允许确定波的形态。所有显著点的分割平均误差均低于心电图通用标准委员会（CSE）定义的公差。
英文摘要：
A new algorithm has been developed for delineation of significant points of various electrocardiographic signal (ECG) waves, taking into account information from all available leads and providing similar or higher accuracy in comparison with other modern technologies. The test results for the QT database show a sensitivity above 97% when detecting ECG wave peaks and 96% for their onsets and offsets, as well as better positive predictive value compared to the previously known algorithms. In contrast to the previously published algorithms, the proposed approach also allows one to determine the morphology of waves. The segmentation mean errors of all significant points are below the tolerances defined by the Committee of General Standards for Electrocardiography (CSE).
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
