This paper presents a robust QRS detection algorithm that is capable of detecting QRS complexes as well as accurately identifying R-peaks. The proposed bilateral threshold scheme combined with QRS watchdog greatly improves the detection accuracy and robustness, resulting in consistent detection performance on 9 available ECG databases. Simulations show that the proposed algorithm achieves good results on the datasets from both QTDB healthy database and MITDB arrhythmia database, i.e. the sensitivity of 99.99% and 99.88%, the precision of 99.98% and 99.88%, and the detection error rate of 0.04% and 0.31%, respectively. Furthermore, it also outperforms many existing algorithms on six other ECG databases, such as NSTDB, TWADB, STDB, SVDB, AFTDB, and FANTASIADB.

本文提出了一种鲁棒的QRS检测算法，该算法能够检测QRS络合物以及准确识别R峰。所提出的双边阈值方案与QRS看门狗相结合，大大提高了检测准确性和鲁棒性，从而在9个可用ECG数据库上实现了一致的检测性能。仿真结果表明，该算法在QTDB健康数据库和MITDB心律失常数据库的数据集上均取得了较好的结果，灵敏度为99.99％和99.88％，精度为99.98％和99.88％，检测错误率为0.04％和分别为0.31％。此外，它还优于其他六个ECG数据库（例如NSTDB，TWADB，STDB，SVDB，AFTDB和FANTASIADB）上的许多现有算法。