School of Electronic Science and Engineering, Nanjing University, Xianlin Campus, Nanjing, China.
Nanjing General Hospital of Nanjing Military command, Nanjing, China.
PLoS One. 2019 Mar 28;14(3):e0214443. doi: 10.1371/journal.pone.0214443. eCollection 2019.
ECG signal is relatively weak and vulnerable to various noise interferences, such as electromyography. There will be robustness problems when detecting the instantaneous heart rate independently. In some cases, multiple human physiologic parameters are monitored to help in heart rate detection.
In this paper, an algorithm that marks the R-wave peaks with the help of simultaneously recorded continuous blood pressure is proposed and tested on two databases. One database, called the challenge database, is provided by the PhysioNet/Computing in Cardiology Challenge 2014, and the other is the MGH/MF waveform database.
The final scores of the proposed algorithm are 97.3% for the challenge database and 96.6% for the MGH/MF waveform database.
The experimental results show that this algorithm has high detection accuracy and a relatively strong robustness.
心电图信号较为微弱,容易受到肌电图等多种噪声干扰。单独检测瞬时心率时会存在稳健性问题。在某些情况下,会同时监测多个人体生理参数来辅助心率检测。
本文提出了一种借助同时记录的连续血压来标记 R 波峰值的算法,并在两个数据库上进行了测试。一个数据库称为挑战赛数据库,由 PhysioNet/Computing in Cardiology Challenge 2014 提供,另一个是 MGH/MF 波形数据库。
所提出算法在挑战赛数据库中的最终得分为 97.3%,在 MGH/MF 波形数据库中的最终得分为 96.6%。
实验结果表明,该算法具有较高的检测精度和较强的稳健性。