【摘 要】
：
This paper presents a robust QRS detection algorithm that is capable of detecting QRS com-plexes as well as accurately identifying R-peaks.The proposed bilateral threshold scheme combined with QRS watchdog greatly improves the detection accuracy and robus
【机 构】
：
Department of Micro and Nano Electronics,Shanghai Jiao Tong University,Shanghai 200240,China;Alibaba
论文部分内容阅读
This paper presents a robust QRS detection algorithm that is capable of detecting QRS com-plexes 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 per-formance 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.
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