期刊
SCIENCE CHINA-INFORMATION SCIENCES
卷 64, 期 8, 页码 -出版社
SCIENCE PRESS
DOI: 10.1007/s11432-020-3150-2
关键词
signal processing; QRS detection; R-peak detection; wearable ECG sensors; bilateral threshold
资金
- National Key Research and Development Program of China [2019YFB2204500]
- National Natural Science Foundation of China [61874171]
- Science, Technology and Innovation Action Plan of Shanghai Municipality, China [1914220370]
- Alibaba Group through Alibaba Innovative Research (AIR) Program
The study introduces a robust QRS detection algorithm that achieves high accuracy and robustness, demonstrating consistent detection performance across multiple ECG databases.
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.
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