Abstract
Today, the prospect of human’s life becomes limited because of cardiovascular diseases (CVDs). The CVDs is the one of leading cause of morality. Electrocardiogram (ECG) is the only tool which measures the electrical activity of the human heart variations in the form of signal. During recording, ECG signal contains various type of noises. So for analysis of ECG signal, noise must be removed. There are different type of noises exist in ECG signal that is baseline wander, power line interference, and EMG. In this paper, an improved method as combination of median filter, Savitzky–Golay (SG) filtering, and wavelet transform is presented for the reduction of noises from the ECG signal. The proposed method is validated on standard database of MIT-BIH for different records and measured in the form of signal-to-noise ratio (SNR) and compared these results with the existing works. The results show that proposed method archived better SNR than that reported in other literature.
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Raheja, N., Manocha, A.K. (2021). An Improved Method for Denoising of Electrocardiogram Signals. In: Khanna, A., Gupta, D., Pólkowski, Z., Bhattacharyya, S., Castillo, O. (eds) Data Analytics and Management. Lecture Notes on Data Engineering and Communications Technologies, vol 54. Springer, Singapore. https://doi.org/10.1007/978-981-15-8335-3_47
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DOI: https://doi.org/10.1007/978-981-15-8335-3_47
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