Abstract
QRS detection for electrocardiogram (ECG) signal plays a fundamental role in monitoring cardiovascular diseases. Lots of QRS detection algorithms exist and most of them are verified with high sensitivity and positive predictivity on the standard ECG databases. Recent progress in mobile ECG rises the challenge of accurate QRS detection for real-time dynamic ECG recordings since the variety of noises. In this study, a decision-making fusion method for accurately locating QRS complexes from the multiple QRS detectors were proposed. First, the ECG signals were detected by these nine detectors. Then, the voting fusion rule had been established that a heartbeat was determined when more than five detectors showed their detections in a time moving window respectively. And the mean value of the middle three detections’ positions in the window was served as a corrected heartbeat. Moreover, the comprehensive post processing technology was used to eliminate the false detection and to search the missed beats. The new proposed method was tested on high and poor signal quality ECG databases. For comparison, the best detection accuracy for the single algorithm was only 75.50% while the new proposed fusion method with 200 ms time moving window reported a detection accuracy of 80.43% for the poor-quality ECG signals. The proposed fusion method can significantly improve locating QRS complexes accuracy for the ECG signals with poor signal quality. Thus, it has a potential usefulness in the real-time dynamic ECG monitoring situations.
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Acknowledgements
The study was partly supported by the National Natural Science Foundation of China (Grant Number: 61571113 and 61671275), the Key Research and Development Programs of Jiangsu Province (Grant Number: BE2017735). The authors thank the support from the Southeast-Lenovo Wearable Heart-Sleep-Emotion Intelligent monitoring Lab.
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Liu, F. et al. (2019). A Decision-Making Fusion Method for Accurately Locating QRS Complexes from the Multiple QRS Detectors. In: Lhotska, L., Sukupova, L., Lacković, I., Ibbott, G. (eds) World Congress on Medical Physics and Biomedical Engineering 2018. IFMBE Proceedings, vol 68/2. Springer, Singapore. https://doi.org/10.1007/978-981-10-9038-7_66
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DOI: https://doi.org/10.1007/978-981-10-9038-7_66
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