基于优化中值滤波和有效信号重构的心电图信号QRS复合检测技术

Raghad Wahab Mohammed Haider J. Abd
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引用次数: 0

摘要

r -峰的自动检测正在成为自动化指定重要心血管成分的重要工具。心电图r波峰值是心功能障碍的主要指标。由于心电信号姿态的非平稳,大多数r波峰探测都存在很大的困难。在我们目前的研究中,提出了一种基于中值滤波和自动r波峰检测技术的智能技术。首先采用中值滤波方法去除心电信号中的基线。在此基础上,提出了一种有效的序列重构方法来检测QRS的位置。该方法的有效性已在MIT-BIH心律失常数据库上得到验证。这项技术也被应用于不同心脏病患者的真实信号。与其他技术相比,该技术具有更好的性能和更快的检测速度。检测错误率为0.05%,阳性预测率(P+)为99.85%,灵敏度(Se)为99.94%,平均f值为0.999,优于传统的检测结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Efficient Technique of QRS Complex Detection of Electrocardiography Signal Based on Optimized Median Filter and Efficient Signal Reshaping
: Automatic detection of R-peak is changing into a prominent tool for automatizing the designation of significant cardiovascular components. R-wave peaks in electrocardiography is a major indicator of the cardiac dysfunction. Most of the R-wave peaks prospectors have great troubles owing to non-stationary attitude of the ECG signal. In our current research, a smart technique established on bases of median filter and an automated R-wave peaks detection technique has been proposed. First median filter approach is used to eliminate the base line from the ECG signal. Then an efficient signal reshaping with sequential steps was proposed to detect the QRS position. The efficiency of the proposed work has been tested on MIT-BIH arrhythmia database. The technique has also been applied to a real signal for patients with different heart diseases. The proposed technique showed better performance and faster detection compared to the latter techniques at the same time. Error rate detection is low 0.05%, Positive predictivity (P+) of 99.85% Sensitivity (Se) of 99.94% and an average F-score of 0.999 are accomplished for the suggested ECG detector which are superior to the former results.
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