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- W2004189904 abstract "In this paper a method for real time QRS complex extraction from Electrocardiogram using digital filter is proposed. The digital filters are used to detect the different signal features on an human heart electrocardiogram signal. The waveform feature of interest in this paper is the QRS complex of electrocardiogram signals taken from MIT-BIH Arrhythmia Database. The digital filters designed are FIR which are of a order 20 which is quite less. A comparison of different FIR digital filters based on Rectangular, Gaussian and Kaiser windows is done. All the work has been done with ?MATLAB?^®. The performance of digital filter is described by the comparison of mean square error (MSE) of QRS complex extracted, for three different patient records of MIT-BIH, by our method using different windows and QRS complex of referred original ECG recording of same MIT-BIH records. The MSE for Kaiser Window was minimum" @default.
- W2004189904 created "2016-06-24" @default.
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- W2004189904 date "2012-11-01" @default.
- W2004189904 modified "2023-10-18" @default.
- W2004189904 title "Comparison of Different Digital Filters for QRS Complex Extraction from Electrocardiogram" @default.
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- W2004189904 doi "https://doi.org/10.1109/cicn.2012.68" @default.
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