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- W3192936056 abstract "Automatic patient monitoring for cardiac diseases has been one of our prime requirements, and would certainly continue to be in the future years. Electrocardiogram (ECG) is highly adopted as a primary diagnostic tool for cardiovascular diseases. Heart monitoring requires extraction of important features from the ECG signal. R peak detection is necessary to determine abnormal heart function diseases including Arrhythmia, Myocardial infarction, etc. There have been several methods like Pan Tompkins, Wavelet Decomposition, etc. using which R peaks are detected. In this paper, we explore Chebfun for computing the R peaks and compare its performance with the existing standard methodologies viz. Variational Mode Decomposition(VMD) and Pan Tompkins." @default.
- W3192936056 created "2021-08-16" @default.
- W3192936056 creator A5000182583 @default.
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- W3192936056 date "2020-11-01" @default.
- W3192936056 modified "2023-09-24" @default.
- W3192936056 title "R Peak Detection in ECG signals using Chebfun" @default.
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- W3192936056 doi "https://doi.org/10.1109/ccem50674.2020.00023" @default.
- W3192936056 hasPublicationYear "2020" @default.
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