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- W3036152154 abstract "Abstract The Pan-Tompkins Algorithm is the most widely used QRS complex detector for the monitoring of many cardiac diseases including in arrhythmia detection. This method could provide good detection performance with high-quality clinical ECG signal data. However, the numerous types of noise and artefacts that exist in an ECG signal will produce low-quality ECG signal data. Because of this, the performance of Pan-Tompkins-based QRS detection methods using low-quality ECG signals should be further investigated. In this paper, the performance of the Pan-Tompkins algorithm was analysed in extracting the QRS complex from standard ECG data that includes noise-stressed ECG signals. The algorithm’s QRS detection reliability was tested using MIT-BIH Noise Stress Test data and MIT-BIH Arrhythmia data. The performance of the algorithm was then analysed and presented. This paper shows the capability of the Pan-Tompkins algorithms in handling noisy ECG signals." @default.
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- W3036152154 date "2020-06-01" @default.
- W3036152154 modified "2023-10-14" @default.
- W3036152154 title "Analysis of Pan-Tompkins Algorithm Performance with Noisy ECG Signals" @default.
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- W3036152154 doi "https://doi.org/10.1088/1742-6596/1532/1/012022" @default.
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